ISCB 2021: 42ND ANNUAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR CLINICAL BIOSTATISTICS

This page contains an index consisting of author-provided keywords.

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16S rRNA gene sequencing	Diversity indices and statistical methods used in studies addressing dysbiosis applied to composition data of the gut microbiota
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2x2	Challenges in Factorial Design Randomized Control Trials
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4pLL model	Information sharing across genes for improved parameter estimation in dose-response curves
A
Aalen-Johansen estimator	Statistical inference for transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
Abdominal aortic aneurysms	A geometric Brownian motion model with non-normal random effect for the prediction of the growth of abdominal aortic aneurysms
Accelerometers	Handling missing data from wearable devices in clinical trials
accuracy	Estimating the treatment selection ability of a marker: review, comparison, and improvement of existing approaches
Acinetobacter baumannii	Predictors of Multidrug Resistance in Nosocomial Pneumonia among Intensive Care Units’ Patients of a Tertiary Hospital, Egypt
acoustic feature	Machine learning to support Reinke’s edema diagnosis from voice recordings
action threshold	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making
adaptive design	Adaptive clinical trials with selection of composite endpoints and sample size reassessment A stochastically curtailed two-arm randomised phase II trial design for binary outcomes Adaptive designs for three-arm gold-standard non-inferiority trials
adaptive enrichment design	Confidence intervals for the treatment effect in the Magnusson-Turnbull adaptive enrichment design
adaptive Gauss-Hermite quadrature	A general approach to fit flexible hazard regression models with multiple random effects
Adaptive randomisation	Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods
Adaptive randomization	Response-adaptive randomization in clinical trials: from myths to practical considerations
adaptive threshold design	A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints
adaptive trial design	A Bayesian decision-theoretic approach to outcome-adaptive sequential multiple assignment randomised trials (SMARTs) with distinct intermediate binary endpoints
Additional Benefit Assessment	Additional benefit method assessment for time-to-event endpoints – A comparison of ESMOs and IQWiGs approach
additive predictor	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology
administrative data	Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data
adolescents	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
adverse drug events	Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets
adverse drug reactions	Creation of adverse drug reactions assessment tool
adverse events	Bayesian hierarchical modeling for MedDRA coded adverse events in RCTs Handling recurrent events in the context of clinical trials
agent-based model	Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions
agent-based modelling	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
aging	Healthy life expectancy computation using the Item Response Theory combined with a joint modeling approach
AI	COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19
Air pollutants	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
Alternating recurrent events	A martingale based approach for modelling the alternating recurrences in Cystic Fibrosis patients
Alzheimer’s disease	Joint modelling of the temporal relationships between multivariate longitudinal markers of Alzheimer’s disease progression and clinical endpoints Can animal studies on rodents help better understand Alzheimer’s disease in humans?
Amyotrophic Lateral Sclerosis	Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis
Analysis	Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per patient Analysis methods for personalized randomized controlled trial (PRACTical)
analysis population	Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
ANCOVA	Meta-analysis of randomised trials with continuous outcomes: methods that adjust for baseline should be used
anemia	Application of three level multiple imputation to national surveys
animal experiment	Introducing GINGER - a General simulation-INterpolation tool for designing multiGroup ExpeRiments
Annealed variational inference	ATLASQTL and EPISPOT: two joint hierarchical approaches for detecting and interpreting hotspots in molecular QTL studies
ANOVA	Patient heterogeneity assessments via network-based ANOVA
antibiotic resistance	Impact of STI screening intensity on antibiotic exposure: A modelling study among men who have sex with men in Belgium
anxiety	Challenges of using big health data to identify patterns of anxiety and depression in multimorbid population
Applicability	Assessing risk of bias in individual participant data meta-analyses for prediction model research
Approximate Bayesian computation (ABC)	Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study
Artificial intelligence	Performance measures for assessing machine learning algorithms in clinical trials
Artificial Neuron	Nguyen’s Information Criteria (NIC)
assay sensitivity	Non-inferiority trials with indirect evidence of assay sensitivity using network meta-analysis
Association parameter
Association structure	Bayesian multivariate longitudinal data analysis assuming different association structures
AUC	Improving model performance estimation in high-dimensional data settings by using learning curves
awake thoracic surgery	Video-Assisted Non-Intubated Lobectomies for Lung Cancer: A Systematic Review and Meta-Analysis
B
Background mortality	A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality
baseline imbalance	Meta-analysis of randomised trials with continuous outcomes: methods that adjust for baseline should be used
basket trial	Modular components in basket trials and connections among the applied tools
Basket trial design	Flexible software framework to compare Bayesian hierarchical models across basket trial designs
basket trials	Monotonicity Rules for Inference in Basket Trials
bayes factor	Bayes Factors for Equivalence, Non-inferiority, and Superiority Designs Using baymedr
Bayesian	Modular components in basket trials and connections among the applied tools Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards Biomarker-based Bayesian randomized clinical trial for population finding with efficient reduction of sample size
Bayesian analysis	Interim analysis of a clinical trial using the predictive probability of success based on a surrogate endpoint Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
Bayesian approach	Bayesian extrapolation from pre-clinical data to human
Bayesian clinical trial design	Compromise Bayesian test decisions under type I error rate constraint
Bayesian clinical trials design	Investigating the operating characteristics of clinical trials with borrowing from external data
bayesian data assimilation	Application of a spatio-temporal SVEIRD model to COVID-19 epidemic in the Czech Republic
Bayesian decision-theory	A Bayesian decision-theoretic approach to outcome-adaptive sequential multiple assignment randomised trials (SMARTs) with distinct intermediate binary endpoints
Bayesian disease mapping	Bayesian disease mapping of standardized infection fatality rate using the example of COVID-19 in Bavaria
Bayesian Factor Analysis for interaction (FIN)	Non-linear and non-additive associations between the pregnancy exposome and birthweight
Bayesian hierarchical model	Seamless Master Protocol with account for correlations within subgroups Flexible software framework to compare Bayesian hierarchical models across basket trial designs
Bayesian hierarchical modeling	Bayesian hierarchical modeling for MedDRA coded adverse events in RCTs
Bayesian inference	Bayesian multilevel nonlinear joint model to characterize the variability in the response to immunotherapy Bayesian inference for the direct approach for competing risk modeling with Gompertz distribution Propensity Score-Integrated Meta-Analytic-Predictive Priors
Bayesian joint modeling	Bayesian joint modeling of a bivariate toxicity for dose-regimens in early phase oncology
Bayesian Latent Class Analysis	Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard
Bayesian methods	Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm Bayesian Predictive Model Averaging for Joint Model of Survival and Longitudinal Data: Application to an Immunotherapy Trial A Bayesian model for heterogeneous treatment effects on the additive risk scale in meta-analysis Personalized Schedules for Invasive Diagnostic Tests: With Applications in Surveillance of Chronic Diseases Variational Bayes for Model Averaging for Multivariate models using Compositional Microbiome predictors
bayesian model averaging	Modelling time varying recruitment rates and site activation prediction in multicentre clinical trials: A comparison study.
Bayesian modelling	What is the real prevalence of hypertension in France ? Spatial analyses of the first wave of COVID-19 cases in Hong-Kong using Poisson intrinsic and Besag York Mollié conditional autoregressive models under a Bayesian paradigm
Bayesian models	Inclusion of real world data in surrogate endpoint evaluation: a Bayesian meta-analytic approach Bayesian concurrent functional regression for sensor data
bayesian optimal interval design	Early completion of phase I cancer clinical trials with Bayesian optimal interval design
Bayesian P-splines	Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data
Bayesian Posterior Probabilities	The p-value conundrum: how can a Bayesian analysis help? A case study in reproductive and maternal-fetal medicine
Bayesian regression	A Bayesian approach to estimating dynamic models of co-regulated gene expression
Bayesian statistics	Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of failure Bayesian multivariate longitudinal data analysis assuming different association structures
Bayesian variable selection	Tailored Bayesian variable selection for risk prediction modelling under unequal misclassification costs
baymedr	Bayes Factors for Equivalence, Non-inferiority, and Superiority Designs Using baymedr
Benchmark	Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression
Besag York Mollié (BYM)	Spatial analyses of the first wave of COVID-19 cases in Hong-Kong using Poisson intrinsic and Besag York Mollié conditional autoregressive models under a Bayesian paradigm
between-individual variance	Trajectory clustering using mixed classification models
bias	Data linkage for creating electronic birth cohorts: handling bias due to linkage error Use of electronic health records to enhance data from a single clinical trial evaluating maintenance therapy in non-small cell lung cancer patients Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses
Bias (epidemiology)	Immortal time bias for life-long conditions in retrospective observational studies using electronic heath records
Bias quantification	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
bias-variance trade-off	A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power
big data	Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning Challenges of using big health data to identify patterns of anxiety and depression in multimorbid population
binary classification	Tailored Bayesian variable selection for risk prediction modelling under unequal misclassification costs
binary outcome	Separation in Marginal Logistic Regression Models Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome
Binary outcomes	Stepped-wedge cluster randomised trials with binary outcomes and small numbers of clusters: a case study
Bioequivalence	Impact of model misspecification on model-based bioequivalence
biomarker	Testing for Heterogeneity in the Utility of a Surrogate Marker Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
biomarker trajectory	Mediation with Irregular Longitudinal Biomarkers: An Application to Examining Obesity and Severe Disease in COVID-19 Patients
Biomarker-strategy	Estimating sample size for biomarker-strategy designs with survival endpoints
Biomarkers	Statistical methods for estimating sources of variability in count-based biomarkers A comparison of dual biomarker threshold identification procedures within a confirmatory clinical trial
birth cohorts	Data linkage for creating electronic birth cohorts: handling bias due to linkage error
Birth interval	Relation between women empowerment and birth interval: A survival analysis approach
Bivariate toxicity	Bayesian joint modeling of a bivariate toxicity for dose-regimens in early phase oncology
BKMR	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
bladder cancer	Subsequent primary neoplasms in bladder cancer patients
Blood pressure variability	Impact of model choice when studying the relationship between blood pressure variability and risk of stroke
Blood test	A methodological approach to assess data quality from the Clinical Practice Research Datalink
BMI	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Bootstrap	Lower Limit of Quantification in various distributed data: examining confidence interval variations
borrowing from external data	Investigating the operating characteristics of clinical trials with borrowing from external data
bounds	Challenges and opportunities for learning from long term disease registers: - Causal inference
Breast cancer	Comparison of statistical methods for estimating time-varying treatment effect on adverse event risk Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin
Bullous pemphigoid	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
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Calibration	A comprehensive comparison of approaches for the calibration of probability machines Prediction of cancer incidence in areas without registries using proxy and registry data
Calibration slope	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
Cancer	Prediction of cancer incidence in areas without registries using proxy and registry data A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality Predicting individual life years lost due to cancer using pseudo-observations with random forest, in the absence of cause of death information A Bayesian decision-theoretic approach to outcome-adaptive sequential multiple assignment randomised trials (SMARTs) with distinct intermediate binary endpoints Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials A non-mixture cure model with frailty correction for inaccurate background mortality to estimate time-to-cure. A stochastically curtailed two-arm randomised phase II trial design for binary outcomes Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information
Cancer clinical trial	Bayesian multilevel nonlinear joint model to characterize the variability in the response to immunotherapy
cancer regression	The Natural History of Invasive Breast Cancers Detected in the Scandinavian Mammography Screening Programs: A Cohort Study
cancer screening	Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data
Cardiomyopathy	Exploring risk stratification in cardiomyopathies using a deep learning approach for survival prediction
Cardiovascular	Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
Cardiovascular disease	The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
Cardiovascular risk	A comparison of prioritisation tools for CVD risk assessment in UK Biobank: Primary care records versus polygenic risk scores
Case control	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
case-cohort study	Multiple imputation for missing data in case-cohort studies: simulation and case study
Case-control designs	Identification of causal effects in case-control studies
Case-control studies	Conditional and unconditional logistic regression analysis of matched case-control studies of recurrent events
causal effect	Causal inference with skewed outcome data: Moving beyond the “ignore or transform” approach
Causal effect direction	Caution When Inferring the Effect Direction in Mendelian Randomization
Causal effect generalization	Causal inference for combining RCTs and observational studies: methods comparison and medical application
Causal Graph	Pathway specific population attributable fractions.
Causal inference	Multiple imputation in propensity score matching: obtaining correct confidence intervals Estimating treatment effects on survival in an entirely treated cohort: negative controls in longitudinal data Identification of causal effects in case-control studies Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm Incident and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a systematic review Evaluating the effectiveness of local tracing partnerships on NHS test and trace for Covid19 A framework for meta-analysis of studies with baseline exposure through standardized survival curves Separable Causal Effects as alternative Estimands in Epidemiology and Biostatistics Simulating hypothetical interventions on multiple mediators: Extending methods and practical guidance Estimands in clinical trials: making the hypothetical strategy concrete How to deal with collider bias in Mendelian randomization analysis? Extending multistate models with g-computation to evaluate the effect of treatment timing Causal inference in practice: two case studies in nephrology Tying research question and analytical strategy when variables are affected by medication use Marginal structural Cox models in nested case-control studies with time-varying treatments Comparison of two causal inference methods for multiple treatments in clinical research on observational data Valid Uncertainty Interval for the Average Causal Effect in a High-dimensional Settingv Machine learning, G-computation and small sample sizes: a simulation study Handling missing data for causal effect estimation in longitudinal cohort studies using Targeted Maximum Likelihood Estimation: a simulation study TMLE for Causal Effects based on continuous time longitudinal data structures Valid post-selection inference for cox regression parameters, with and without the proportional hazards assumption. Should multiple imputation be stratified by exposure when estimating causal effects via outcome regression? Estimating the causal effect of direct-acting antiviral agents on kidney function in a clinical cohort of chronic Hepatitis C patients Causal inference with skewed outcome data: Moving beyond the “ignore or transform” approach
Causal mediation analysis	Separable Causal Effects as alternative Estimands in Epidemiology and Biostatistics Simulating hypothetical interventions on multiple mediators: Extending methods and practical guidance
Causality	Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine trial Joint modelling of the temporal relationships between multivariate longitudinal markers of Alzheimer’s disease progression and clinical endpoints Causal assessment of surrogacy for time-to-event endpoints using meta-analytic data
Censoring	Neural networks for survival prediction in medicine: a review and critical appraisal
change	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Charlson Comorbidity Index	The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables
childhood cancer	The risk of valvular heart disease after childhood cancer: contribution of dose-volume histogram parameters
choroid plexus	Can animal studies on rodents help better understand Alzheimer’s disease in humans?
Chronic diseases	Personalized Schedules for Invasive Diagnostic Tests: With Applications in Surveillance of Chronic Diseases
Chronological bias	Randomization tests to address disruptions in clinical trials
circular data	Kernel density estimation for circular data about COVID-19 in the Czech Republic
Classification	Improving model performance estimation in high-dimensional data settings by using learning curves Trajectory clustering using mixed classification models Nguyen’s Information Criteria (NIC)
classifiers	Machine learning to support Reinke’s edema diagnosis from voice recordings
clinical	Pharmacometrics-Informed Deep Learning with DeepNLME
clinical decision making	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making
Clinical phase III trials	Additional benefit method assessment for time-to-event endpoints – A comparison of ESMOs and IQWiGs approach
Clinical practice research datalink	A methodological approach to assess data quality from the Clinical Practice Research Datalink
Clinical prediction	Fast marginal likelihood estimation of penalties for group-adaptive elastic net
Clinical prediction models	Single and multiple imputation combined with missing indicators in clinical prediction models: a simulation study
clinical risk score	Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data
clinical trial	Graphical approaches for the control of generalized error rates FORECAST ALZHEIMER'S DISEASE PROGRESSION TO BETTER SELECT PATIENTS FOR CLINICAL TRIALS Testing for Heterogeneity in the Utility of a Surrogate Marker The true power of clinical trials in pediatric cancers and other rare diseases Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
clinical trial analysis	Sensitivity of results to missing data for clinical trials with discrete, longitudinal outcome measurements
clinical trial analysis plans	Challenges in Factorial Design Randomized Control Trials
clinical trial design	Dangers of wrongly assuming linearity in a trial sample size calculation when treatment affects rate of change Under what conditions do open-cohort cluster RCTs provide improvements over conventional designs? A simulation study. Faster and more agile designs: speeding up the stepped wedge with batched designs A methodological review of phase I designs with late-onset toxicities and incomplete follow-up Biomarker-based Bayesian randomized clinical trial for population finding with efficient reduction of sample size
Clinical trial innovation	Fast-tracking clinical trial innovations – a COVID-19 silver lining
clinical trial reporting	Challenges in Factorial Design Randomized Control Trials
Clinical trials	Reference based multiple imputation for trials – what’s the right variance and how to estimate it? Incorporating multiple parameters from historical controls using the meta-analytic-predictive (MAP) prior Handling missing data from wearable devices in clinical trials Performance measures for assessing machine learning algorithms in clinical trials Estimands in clinical trials: making the hypothetical strategy concrete Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials Trials of Vaccine Efficacy for COVID-19: Inferential and Practical Issues Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis Comparison of frequentist and Bayesian methods for two-arm borrowing of historical data Operational characteristics of generalized pairwise comparisons for hierarchically ordered endpoints Using routinely collected data to conduct a pragmatic randomized controlled trial: an example addressing antibiotic prescription and resistance monitoring in Swiss primary care Outcomes reported in randomized clinical trials of depression in geriatric patients: a methodological review Propensity Score-Integrated Meta-Analytic-Predictive Priors A comparison of dual biomarker threshold identification procedures within a confirmatory clinical trial
Cluster	Developing a Goodness of fit test for a joint model: The case of clustered survival and count data Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
Cluster Analysis	Cluster analysis on emergency COVID-19 data: A result-based multiple imputation for missing data
cluster level analysis	Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome
cluster randomisation	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
cluster randomised trial	Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per patient Simulations to assess the impact of non-adherance due to COVID-19 in a cluster-randomized non-inferiority trial Longitudinal cluster randomised trials with continuous recruitment
cluster randomised trials	Stepped-wedge cluster randomised trials with binary outcomes and small numbers of clusters: a case study Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome Optimal design of cluster randomized trials with baseline data comparing routine care to a new intervention Faster and more agile designs: speeding up the stepped wedge with batched designs
cluster randomized Intervention	SteppedPower - an R Package for Power Calculation in Stepped Wedge Cluster Randomised Designs
cluster randomized trials	Sample size calculation for stepped wedge cluster randomized trials with multiple levels of clustering
cluster stepped wedge	Sample size calculation for stepped wedge cluster randomized trials with multiple levels of clustering
cluster-randomised trial	Under what conditions do open-cohort cluster RCTs provide improvements over conventional designs? A simulation study.
Clustered data	Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships
clustered time-to-event data	A family of discrete random effect distributions for modelling bivariate time-to-event data
Clustering	Unsupervised classification of ECG signals via FDA to look for different patterns of variation among patients Worldwide age specific Human Papillomavirus prevalence patterns: a mixed effects binomial method to cluster trajectories Patient heterogeneity assessments via network-based ANOVA Modeling Child Mortality in the presence of Clustering A Hidden Markov model segmentation to identify trajectories in sleep apnoea patients
Cochrane
Cochrane Database of Systematic Reviews	Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis
Coefficient of determination	Explained Variation in the Linear Mixed Model
cognitive bias	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making
Cohort design	Comparison of statistical methods for estimating time-varying treatment effect on adverse event risk
cohort study	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth The Natural History of Invasive Breast Cancers Detected in the Scandinavian Mammography Screening Programs: A Cohort Study The risk of valvular heart disease after childhood cancer: contribution of dose-volume histogram parameters New Application of competing risks model in IgA nephropathy to explore the severity-dependent urinary remission Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
cohorting	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
collapsibility	Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown
collider bias	How to deal with collider bias in Mendelian randomization analysis?
colorectal cancer	Frailty Multi-state Model with Time-dependent Covariate for Prediction of Colorectal Cancer Progression
combination therapy	Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials
Comorbidities	Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA Study
comorbidity	Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables
comparison study	Analysing ordinal endpoints in two-arm randomized clinical trials
Compartmental model	Dynamic predictive modelling of the first wave of the COVID-19 pandemic in Canada using a deterministic density-dependent susceptible-exposed-infected-recovered (SEIR) model that accounts for age-stratified ageing, reporting delays and mortality risks.
Competing risk	Using meta-analysis for external validation of prediction models in big data, accounting for competing risks
Competing risks	Accounting for improvements in survival when developing risk prediction models in a competing risks setting Separable Causal Effects as alternative Estimands in Epidemiology and Biostatistics Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression Impact of competing event in COVID-19 clinical data analysis Analysis of competing risks data using restricted mean time lost Bayesian inference for the direct approach for competing risk modeling with Gompertz distribution Landmarking: An R package for analysis using landmark models
competitive risk	Individual dynamic predictions in joint analysis of non-linear longitudinal model and parametric competing risk model: application to sepsis patients
Complex interventions	Component Network Meta-Analysis Including Individual Participant Data and Summary Aggregate Data
composite endpoint	Robust statistical inference for the matched net benefit and win ratio. Adaptive clinical trials with selection of composite endpoints and sample size reassessment
computer-aided diagnosis	Machine learning to support Reinke’s edema diagnosis from voice recordings
Concordance	Propensity-based standardization to enhance the interpretation of prediction model discrimination
concordance discordance model	Evaluating DNA sequencing performance: concordance-discordance model and latent class model
Concurrent controls	Online control of the False Discovery Rate in platform trials
conditional autoregressive (CAR) models	Spatial analyses of the first wave of COVID-19 cases in Hong-Kong using Poisson intrinsic and Besag York Mollié conditional autoregressive models under a Bayesian paradigm
Confidence Band	Confidence bands of the MRL function in some right censored prevalent cohort studies via the empirical likelihood
Confidence Interval	Improving model performance estimation in high-dimensional data settings by using learning curves Confidence intervals for the treatment effect in the Magnusson-Turnbull adaptive enrichment design Lower Limit of Quantification in various distributed data: examining confidence interval variations
confidence interval estimation	Robust statistical inference for the matched net benefit and win ratio.
Confirmatory factor analysis	Does early weight gain mediate the causal effects of severity and duration of depression on the onset of metabolic syndrome?
Confounding Bias	Valid Uncertainty Interval for the Average Causal Effect in a High-dimensional Settingv
Congeniality	Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships
congenital anomalies	On heuristic detection of maternal-age-related increase of birth defect risk: Experience, issues, alternatives
consensus building	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making
Constrained randomisation	Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods
contact tracing	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
Continuous monitoring	A stochastically curtailed two-arm randomised phase II trial design for binary outcomes
correlated data	Separation in Marginal Logistic Regression Models
Correlated test statistics	Improved group sequential Holm procedures for testing multiple correlated hypotheses over time
correlation	MultiNet: a computational algorithm to analyze high-dimensional epigenetic correlation structures
count data	Statistical methods for estimating sources of variability in count-based biomarkers
Counterfactual	Using Historical Data to Predict Health Outcomes – The Prediction Design
counterfactual prediction	Extending multistate models with g-computation to evaluate the effect of treatment timing
Covariate measurement
covariate selection	Confounder selection strategies targeting stable treatment effect estimators
covariates	Pharmacometrics-Informed Deep Learning with DeepNLME A Bayesian nonparametric approach for modeling SF-6D health state utility scores
COVID	Nowcasting the spread of COVID-19 to inform control policies in Hong Kong Modelling the COVID-19 pandemic: initial introduction, lockdown assessment, phasing out
Covid 19	Statistical challenges in the monitoring of the SARS-CoV-2 pandemic
COVID-19	Regional estimates of reproduction numbers with application to COVID-19 Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study Randomization tests to address disruptions in clinical trials Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study A Bayesian decision-theoretic approach to outcome-adaptive sequential multiple assignment randomised trials (SMARTs) with distinct intermediate binary endpoints An evaluation of the stability, precision and performance of phenomenological models applied to COVID-19 cases and deaths in South Africa Fast-tracking clinical trial innovations – a COVID-19 silver lining Dynamic predictive modelling of the first wave of the COVID-19 pandemic in Canada using a deterministic density-dependent susceptible-exposed-infected-recovered (SEIR) model that accounts for age-stratified ageing, reporting delays and mortality risks. Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA Study Impact of competing event in COVID-19 clinical data analysis Trials of Vaccine Efficacy for COVID-19: Inferential and Practical Issues COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 Assessment of Clinical Trial Missing Data During a Pandemic: A Tipping Point Analysis Case Study Epilocal: A real-time tool for local epidemic monitoring Kernel density estimation for circular data about COVID-19 in the Czech Republic Modelling the length of stay of COVID-19 patients using a multistate approach A new approach to measure frailty in the context of COVID-19 population Mathematical Modelling of COVID-19 Epidemics in Tokyo Metropolitan and New York City Bayesian disease mapping of standardized infection fatality rate using the example of COVID-19 in Bavaria Indices of inequality to monitor temporal and geographic trends in COVID-19 incidence and death data Spatial analyses of the first wave of COVID-19 cases in Hong-Kong using Poisson intrinsic and Besag York Mollié conditional autoregressive models under a Bayesian paradigm A new epidemic model for the Covid-19 pandemic Similarities between the COVID-19 spread in Romanian counties identified through data clustering Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor Analysis
COVID-19 patients	Cluster analysis on emergency COVID-19 data: A result-based multiple imputation for missing data
covid19	Evaluating the effectiveness of local tracing partnerships on NHS test and trace for Covid19 Application of a spatio-temporal SVEIRD model to COVID-19 epidemic in the Czech Republic
Cox proportional hazard model	Relation between women empowerment and birth interval: A survival analysis approach Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent Covariates
Cox proportional-hazards regression	Individual risk prediction: comparing Random Forests with Cox proportional-hazards model by a simulation study
Critical care	Causal inference for combining RCTs and observational studies: methods comparison and medical application
Critical Community Size
Cross-classified data	Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships
Cross-contamination	COMET: an R package to identify sample cross-contamination in whole genome sequencing studies
Cumulative incidence functions	Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of failure
cumulative link model	Treating ordinal outcomes as continuous quantities: when, why and how.
Cumulative probability of toxicity	Bayesian joint modeling of a bivariate toxicity for dose-regimens in early phase oncology
Cure models	Multiple imputation for survival analysis with missing data and a cure fraction: a study of osteosarcoma RECeUS: Ratio Estimation of Censored Uncured Subjects for Studying Sufficient Follow-Up in Studies of Long-Term Survivors
cut-point	Double cut-point identification of continuous diagnostic test variables for clinical use
CV risk factors	Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
Cystic Fibrosis	Estimating treatment effects on survival in an entirely treated cohort: negative controls in longitudinal data A martingale based approach for modelling the alternating recurrences in Cystic Fibrosis patients A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data Mediation with a survival outcome and time-varying mediator: empirical comparison and use in observational data
Czech National Cancer Registry	Subsequent primary neoplasms in bladder cancer patients
D
Data aggregation	Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration.
Data integration	Causal inference for combining RCTs and observational studies: methods comparison and medical application
data linkage	Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia Data linkage for creating electronic birth cohorts: handling bias due to linkage error
Data quality	A methodological approach to assess data quality from the Clinical Practice Research Datalink
Data Set Size	Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches
data sharing	Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials
Data validation	A methodological approach to assess data quality from the Clinical Practice Research Datalink
Data visualisation	Developing a Novel Interactive Multifaceted Graphic for Treatment Ranking within Network Meta-Analysis
decision curve analysis	Decision curve analysis for treatment benefit in a network meta-analysis framework
decision making	Multidimensional Go/No-Go decision rules
Decision-making	Interim analysis of a clinical trial using the predictive probability of success based on a surrogate endpoint Developing a Novel Interactive Multifaceted Graphic for Treatment Ranking within Network Meta-Analysis
deep generative models	Statistical Power for Single Cell Representations
deep learning	Interpretable effect estimates of semi-structured predictors in deep distributional regression models CamemBERT word-embedding for Information Extraction in a Biomedical Context Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches Individualizing deep dynamic models for psychological resilience data Pharmacometrics-Informed Deep Learning with DeepNLME
Deep neural network	Exploring risk stratification in cardiomyopathies using a deep learning approach for survival prediction
DeepNLME	Pharmacometrics-Informed Deep Learning with DeepNLME
deft interaction	A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis
Delay in reporting	Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data
delayed treatment effect	Methods for analyzing time-to-event endpoints in immuno-oncological trials with delayed treatment effects
Dementia	Reevaluating dementia incidence trends: The critical role of adequate design and methodology
dense longitudinal data	Non-linear dynamic indices summarize densely sampled longitudinal data
dentistry	Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per patient
Dependent censoring	Benefit-based organ allocation in liver transplantation
depression	Does early weight gain mediate the causal effects of severity and duration of depression on the onset of metabolic syndrome? Challenges of using big health data to identify patterns of anxiety and depression in multimorbid population
Depth Measures	Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features
Design-based inference	Randomization tests to address disruptions in clinical trials
Determinants of Health	Spatial analyses of the first wave of COVID-19 cases in Hong-Kong using Poisson intrinsic and Besag York Mollié conditional autoregressive models under a Bayesian paradigm
Device	Assessment of Clinical Trial Missing Data During a Pandemic: A Tipping Point Analysis Case Study
Diabetes Mellitus
diabetic nephropathy	Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
diagnosis	COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19
diagnostic accuracy	Comparison of methods for the linear combination of biomarkers under Youden Index optimisation criterion
Diagnostic performance	Mathematical proof of the equivalence between Post-test Predictive Probabilities and Predictive Values
diagnostic test	Double cut-point identification of continuous diagnostic test variables for clinical use
Diagnostic test accuracy	Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard
Diagnostic test evaluation	Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard
Diagnostic tests	Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard
DIC
differentiable programming	Individualizing deep dynamic models for psychological resilience data
differential equations	Individualizing deep dynamic models for psychological resilience data
Dimensionality reduction	A Bayesian approach to estimating dynamic models of co-regulated gene expression
direct and indirect effects	Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown
disability	Healthy life expectancy computation using the Item Response Theory combined with a joint modeling approach
discrete random effect	A family of discrete random effect distributions for modelling bivariate time-to-event data
Disease history	Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study
Disease mapping
Disease progression	Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression
Disruption	Randomization tests to address disruptions in clinical trials
distributional regression	Interpretable effect estimates of semi-structured predictors in deep distributional regression models
Distributional shift	Causal inference for combining RCTs and observational studies: methods comparison and medical application
Diuretics
diversity measures	Diversity indices and statistical methods used in studies addressing dysbiosis applied to composition data of the gut microbiota
Dose-finding	Information sharing across genes for improved parameter estimation in dose-response curves Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression A methodological review of phase I designs with late-onset toxicities and incomplete follow-up An early-phase clinical trial design in oncology with generalization ability
Dose-finding study	Patient-specific dose finding in seamless phase I/II clinical trials
Dose-regimen	Bayesian joint modeling of a bivariate toxicity for dose-regimens in early phase oncology
dose-response	Information sharing across genes for improved parameter estimation in dose-response curves
Dose-response curves	Model selection characteristics when using MCP-Mod for dose-response gene expression data
dose-response model	Patient-specific dose finding in seamless phase I/II clinical trials
dosimetry	The risk of valvular heart disease after childhood cancer: contribution of dose-volume histogram parameters
Double robustness	Causal inference for combining RCTs and observational studies: methods comparison and medical application
double selection	Confounder selection strategies targeting stable treatment effect estimators
doubly interval-censored	Estimation of incubation time and latency time distribution of SARS-CoV-2: the impact of distributional assumptions
Down syndrome	Investigating Down syndrome by integrating methylation and glycomics using supervised PO2PLS
Dropout	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
Drug benefit-risk
drug development	Multidimensional Go/No-Go decision rules
Drug regulation	Non-proportional hazards in immuno-oncology: Is an old perspective needed?
Drug-Related Side Effects and Adverse Reactions
Dynamic AUC	Comparison of multiple dynamic predictive accuracies
Dynamic Brier Score	Comparison of multiple dynamic predictive accuracies
Dynamic modelling	Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine trial Dynamic predictive modelling of the first wave of the COVID-19 pandemic in Canada using a deterministic density-dependent susceptible-exposed-infected-recovered (SEIR) model that accounts for age-stratified ageing, reporting delays and mortality risks.
dynamic models	Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival models
Dynamic prediction	Comparison of multiple dynamic predictive accuracies Comparing risk prediction models in longitudinal context Landmark Prediction of Survival for HIV-infected Patients by Considering AIDS as an Intermediate Event
Dynamic predictions
dynamic structural equation modeling	Dynamic structural equation modeling for intensive longitudinal data
dynamic treatment regimens	A Bayesian decision-theoretic approach to outcome-adaptive sequential multiple assignment randomised trials (SMARTs) with distinct intermediate binary endpoints
dynamical systems	Non-linear dynamic indices summarize densely sampled longitudinal data
dysbiosis	Diversity indices and statistical methods used in studies addressing dysbiosis applied to composition data of the gut microbiota
E
early completion	Early completion of phase I cancer clinical trials with Bayesian optimal interval design
Early phase oncology	Bayesian joint modeling of a bivariate toxicity for dose-regimens in early phase oncology
Early-phase clinical trial	An early-phase clinical trial design in oncology with generalization ability
Ebola virus disease sequelae	Modelling the duration of recurrent events from interval-censored data
ECG	Unsupervised classification of ECG signals via FDA to look for different patterns of variation among patients
ECM algorithm	An extension of Fellegi-Sunter record linkage model for mixed-type data with application to SNDS Trajectory clustering using mixed classification models
EEG Channel Selection	ERNEST: A Representation Learning-based Cross-Subject EEG Channel Selection Algorithm
EEG Signal Processing	ERNEST: A Representation Learning-based Cross-Subject EEG Channel Selection Algorithm
effect decomposition	Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown
effectiveness	Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
efficient influence curve	TMLE for Causal Effects based on continuous time longitudinal data structures
Elderly	Longitudinal progression of frailty in older population and risk of adverse events: An application of joint models
Electronic health record	A methodological approach to assess data quality from the Clinical Practice Research Datalink
electronic health records	Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults Immortal time bias for life-long conditions in retrospective observational studies using electronic heath records Linkage of national clinical datasets without patient identifiers using probabilistic methods A comparison of prioritisation tools for CVD risk assessment in UK Biobank: Primary care records versus polygenic risk scores Estimating the causal effect of direct-acting antiviral agents on kidney function in a clinical cohort of chronic Hepatitis C patients
Electronic healthcare records	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
Elicitation
EM-algorithm	Reconstructing KIR haplotypes taking ambiguous and missing data into account
Empirical Bayes	Fast marginal likelihood estimation of penalties for group-adaptive elastic net
empirical Bayes estimator	Small-sample accuracy of approximations of individual polynomial growth curves’ prediction error in linear mixed regression
Endometriosis	Substitution of study control group by historic controls: Effect on study results using the example pain therapy for endometriosis
endpoint selection	Adaptive clinical trials with selection of composite endpoints and sample size reassessment
endpoints	Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
enrichment designs	A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints
ensemble machine learning	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
Environmental exposure	The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin
Epidemic Modeling	Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor Analysis Statistical challenges in the monitoring of the SARS-CoV-2 pandemic
epidemic modelling	Dynamic predictive modelling of the first wave of the COVID-19 pandemic in Canada using a deterministic density-dependent susceptible-exposed-infected-recovered (SEIR) model that accounts for age-stratified ageing, reporting delays and mortality risks. Modelling the COVID-19 pandemic: initial introduction, lockdown assessment, phasing out Application of a spatio-temporal SVEIRD model to COVID-19 epidemic in the Czech Republic
epidemic monitoring	Nowcasting CoVID-19 Deaths in England by Age and Region
Epidemic renewal equation	Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data
Epidemiological biases	Reevaluating dementia incidence trends: The critical role of adequate design and methodology
Epidemiological model	A new epidemic model for the Covid-19 pandemic
Epidemiology	Worldwide age specific Human Papillomavirus prevalence patterns: a mixed effects binomial method to cluster trajectories Marginal structural Cox models in nested case-control studies with time-varying treatments On heuristic detection of maternal-age-related increase of birth defect risk: Experience, issues, alternatives
Epidemiology methods	Immortal time bias for life-long conditions in retrospective observational studies using electronic heath records
Epigenetic annotations	ATLASQTL and EPISPOT: two joint hierarchical approaches for detecting and interpreting hotspots in molecular QTL studies
epigenetics	MultiNet: a computational algorithm to analyze high-dimensional epigenetic correlation structures
equivalence	Bayes Factors for Equivalence, Non-inferiority, and Superiority Designs Using baymedr
equivalence test	Evaluation of the Fill-it-up design to combine data from observational trials and RCTs
error model	Evaluating DNA sequencing performance: concordance-discordance model and latent class model
error rate	Online control of the False Discovery Rate in platform trials Graphical approaches for the control of generalized error rates
Estimand	Estimands in clinical trials: making the hypothetical strategy concrete The role of the matching algorithm in an analysis of the effect of hemoadsorption in patients with sepsis
Estimation bias	The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin
Ethics	Response-adaptive randomization in clinical trials: from myths to practical considerations
evaluation	An evaluation of the stability, precision and performance of phenomenological models applied to COVID-19 cases and deaths in South Africa
Evidence synthesis	Developing a Novel Interactive Multifaceted Graphic for Treatment Ranking within Network Meta-Analysis
exact test	Analysis and sample size calculation for a survival model conditional on a binary surrogate endpoint
Exaggeration
excess hazard	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology Predicting individual life years lost due to cancer using pseudo-observations with random forest, in the absence of cause of death information
excess hazard model	A general approach to fit flexible hazard regression models with multiple random effects
Excess mortality	A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality
expected squared prediction error	Small-sample accuracy of approximations of individual polynomial growth curves’ prediction error in linear mixed regression
expedited approval	Analysis and sample size calculation for a survival model conditional on a binary surrogate endpoint
experimental design	Statistical Power for Single Cell Representations Introducing GINGER - a General simulation-INterpolation tool for designing multiGroup ExpeRiments
Experts’ elicitation	Bayesian extrapolation from pre-clinical data to human
Explained variation	Explained Variation in the Linear Mixed Model
exposomics	Non-linear and non-additive associations between the pregnancy exposome and birthweight
extended Kalman filter
external data	Evaluation of the Fill-it-up design to combine data from observational trials and RCTs
External validation	Using meta-analysis for external validation of prediction models in big data, accounting for competing risks Minimum sample size for external validation of a clinical prediction model with a binary or time-to-event outcome Propensity-based standardization to enhance the interpretation of prediction model discrimination
external validity	Causal inference for combining RCTs and observational studies: methods comparison and medical application Methods for combining experimental and population data to estimate population average treatment effects
extra non-cancer mortality	A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality.
extrapolation	Comparison of frequentist and Bayesian methods for two-arm borrowing of historical data
F
face	Linear statistical models and ridge regression used in shape index calculation on human face
facial palsy	Linear statistical models and ridge regression used in shape index calculation on human face
Factor analysis	Evaluating the effectiveness of local tracing partnerships on NHS test and trace for Covid19
factorial design	Challenges in Factorial Design Randomized Control Trials
False Discovery Rate	Online control of the False Discovery Rate in platform trials
familywise error rate	Evaluation of the Fill-it-up design to combine data from observational trials and RCTs
FDA	Unsupervised classification of ECG signals via FDA to look for different patterns of variation among patients
feature extraction	A Hidden Markov model segmentation to identify trajectories in sleep apnoea patients
feature selection	Feature selection in multivariate varying-coefficient mixed models for drug response prediction Machine learning to support Reinke’s edema diagnosis from voice recordings
Features Selection	ERNEST: A Representation Learning-based Cross-Subject EEG Channel Selection Algorithm
Fine-Gray model	New Application of competing risks model in IgA nephropathy to explore the severity-dependent urinary remission
finite-population correction	The true power of clinical trials in pediatric cancers and other rare diseases
first type error rate	A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power
Firth’s correction	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
flexible modeling	THE JOY OF PSEUDO-VALUES HANDLING NEGATIVE CORRELATION AND/OR OVER/UNDERDISPERSON IN GAUSSIAN AND NON-GAUSSIAN HIERARCHICAL DATA
flexible parametric models	Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information
Flexible Parametric Survival Model	The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables
Flipped Classroom	A flipped classroom approach for teaching medical statistics and statistical software training
Flow of evidence	Network meta-analysis and random walks
forecast	FORECAST ALZHEIMER'S DISEASE PROGRESSION TO BETTER SELECT PATIENTS FOR CLINICAL TRIALS
fractional polynomials	On the implications of influential points for the selection and reproducibility of MFP models
frailty	Handling recurrent events in the context of clinical trials A family of discrete random effect distributions for modelling bivariate time-to-event data A non-mixture cure model with frailty correction for inaccurate background mortality to estimate time-to-cure. Longitudinal progression of frailty in older population and risk of adverse events: An application of joint models A new approach to measure frailty in the context of COVID-19 population Frailty Multi-state Model with Time-dependent Covariate for Prediction of Colorectal Cancer Progression Modeling Child Mortality in the presence of Clustering
frailty model	Estimating sample size for biomarker-strategy designs with survival endpoints A general approach to fit flexible hazard regression models with multiple random effects
Framingham Heart Study	Reevaluating dementia incidence trends: The critical role of adequate design and methodology
frequentist	Modular components in basket trials and connections among the applied tools
frequentist operating characteristics	Investigating the operating characteristics of clinical trials with borrowing from external data
Full blood count	A methodological approach to assess data quality from the Clinical Practice Research Datalink
Full Information Maximum Likelihood	A comparison of statistical methods to compensate for missing data in longitudinal cluster-randomised trials
full matching	Confounder selection strategies targeting stable treatment effect estimators
Functional concurrent regression	Bayesian concurrent functional regression for sensor data
functional data analysis	Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma Bayesian concurrent functional regression for sensor data Functional analysis of temporal data about patient’s health condition after total knee replacement Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival models
G
g-computation	Extending multistate models with g-computation to evaluate the effect of treatment timing Machine learning, G-computation and small sample sizes: a simulation study
Gaussian process	An early-phase clinical trial design in oncology with generalization ability
GBM	Comparison of two causal inference methods for multiple treatments in clinical research on observational data
Gene expression	A Bayesian approach to estimating dynamic models of co-regulated gene expression Information sharing across genes for improved parameter estimation in dose-response curves Model selection characteristics when using MCP-Mod for dose-response gene expression data
generalised Dirichlet distribution	Nowcasting CoVID-19 Deaths in England by Age and Region
generalised estimating equations	Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome
generalised linear mixed model	Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome
Generalised linear mixed models	Stepped-wedge cluster randomised trials with binary outcomes and small numbers of clusters: a case study
generalizability	Methods for combining experimental and population data to estimate population average treatment effects
generalized estimating equations	Separation in Marginal Logistic Regression Models
generalized functional linear model	Mediation with Irregular Longitudinal Biomarkers: An Application to Examining Obesity and Severe Disease in COVID-19 Patients
Generalized gamma distribution	Parametric Landmark estimation of the transition probabilities in survival data with multiple events
Generalized Linear Mixed Model (GLMM)	Developing a Goodness of fit test for a joint model: The case of clustered survival and count data
Generalized linear models	Possibilities and challenges when analysing large longitudinal data from a population based Norwegian registry (MoBa study).
generalized pairwise comparisons	Operational characteristics of generalized pairwise comparisons for hierarchically ordered endpoints
Generalized propensity score	Variance estimators for weighted and stratified linear dose-response function estimators using generalized propensity score
Genome wide association study	Retro-prospective modelling of recurrent events
Geometric Brownian motion	A geometric Brownian motion model with non-normal random effect for the prediction of the growth of abdominal aortic aneurysms
Gini index	Indices of inequality to monitor temporal and geographic trends in COVID-19 incidence and death data
GLM	Using wristwear device to assess impact of COVID19 lockdown on physical activity
Go/No-Go	Multidimensional Go/No-Go decision rules
gold-standard	Adaptive designs for three-arm gold-standard non-inferiority trials
Gompertz model	Bayesian inference for the direct approach for competing risk modeling with Gompertz distribution
gonorrhea	Impact of STI screening intensity on antibiotic exposure: A modelling study among men who have sex with men in Belgium
Goodness of Fit (GOF)	Developing a Goodness of fit test for a joint model: The case of clustered survival and count data
Goodness-of-fit	Testing for ignorable sampling bias under random double truncation
Granularity	Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration.
Graph-theory	Subject-specific networks as features for predictive modelling - A scoping review of methods
Group sequential Holm	Improved group sequential Holm procedures for testing multiple correlated hypotheses over time
Group sequential tests	Improved group sequential Holm procedures for testing multiple correlated hypotheses over time
grouped	STATISTICAL METHODS TO ANALYSE ORDINAL CATEGORICAL DATA ARISING FROM THE CLINICAL TRIAL OF DRUGS FROM THE PHARMACEUTICAL INDUSTRY
growth curves	Small-sample accuracy of approximations of individual polynomial growth curves’ prediction error in linear mixed regression
Guidelines	Effect of impaired vision on physical activity from childhood to adolescence
H
Hamiltonian Monte Carlo inference	Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers
Haplotype reconstruction	Reconstructing KIR haplotypes taking ambiguous and missing data into account
Hazard ratio	Analysis of competing risks data using restricted mean time lost Valid post-selection inference for cox regression parameters, with and without the proportional hazards assumption.
Health Data Science	Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration.
health insurance	Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets
Health-related quality of life	Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials
healthcare worker screening	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
healthy controls	Linear statistical models and ridge regression used in shape index calculation on human face
Hematology	Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study
Hemoadsorption	The role of the matching algorithm in an analysis of the effect of hemoadsorption in patients with sepsis
Hepatitis C	Estimating the causal effect of direct-acting antiviral agents on kidney function in a clinical cohort of chronic Hepatitis C patients
Heritability	Explained Variation in the Linear Mixed Model
heterogeneity	Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard Estimating sample size for biomarker-strategy designs with survival endpoints Handling recurrent events in the context of clinical trials A Bayesian model for heterogeneous treatment effects on the additive risk scale in meta-analysis
Heteroscedasticity	Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome
hidden markov model	A Hidden Markov model segmentation to identify trajectories in sleep apnoea patients
hierarchical	Assessing the role of hyperventilation in patients with traumatic brain injury: longitudinal data analysis from the CENTER-TBI
hierarchical clustering	Can animal studies on rodents help better understand Alzheimer’s disease in humans? Similarities between the COVID-19 spread in Romanian counties identified through data clustering
Hierarchical data	Explained Variation in the Linear Mixed Model
hierarchical endpoints	Operational characteristics of generalized pairwise comparisons for hierarchically ordered endpoints
Hierarchical sparse regression modelling	ATLASQTL and EPISPOT: two joint hierarchical approaches for detecting and interpreting hotspots in molecular QTL studies
hierarchical testing	Adaptive designs for three-arm gold-standard non-inferiority trials
High-Dimensional Data	Improving model performance estimation in high-dimensional data settings by using learning curves Non-linear and non-additive associations between the pregnancy exposome and birthweight
high-dimensional dataset	MultiNet: a computational algorithm to analyze high-dimensional epigenetic correlation structures
highly adaptive lasso	TMLE for Causal Effects based on continuous time longitudinal data structures
Historic Controls	Substitution of study control group by historic controls: Effect on study results using the example pain therapy for endometriosis
Historical borrowing	Incorporating multiple parameters from historical controls using the meta-analytic-predictive (MAP) prior
Historical controls	Propensity Score-Integrated Meta-Analytic-Predictive Priors
Historical Data	Using Historical Data to Predict Health Outcomes – The Prediction Design
historical data borrowing	Comparison of frequentist and Bayesian methods for two-arm borrowing of historical data
Historical information	Compromise Bayesian test decisions under type I error rate constraint
HIV	The use of mixed logistic modelling in the analysis of HIV latency study data in the context of low sample size and low outcome rates
HIV biomarkers	Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers
HIV/AIDS	Landmark Prediction of Survival for HIV-infected Patients by Considering AIDS as an Intermediate Event
Hong Kong	Nowcasting the spread of COVID-19 to inform control policies in Hong Kong
Hospital epidemiology	Statistical inference for transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
hospital readmissions	Time to readmission among newborns: time for a reappraisal?
Human Papillomavirus	Worldwide age specific Human Papillomavirus prevalence patterns: a mixed effects binomial method to cluster trajectories
hyperopia
Hypertension	What is the real prevalence of hypertension in France ?
hypothesis test	Analysis of competing risks data using restricted mean time lost
Hypothesis tests	Randomization tests to address disruptions in clinical trials
Hypothetical strategy	Estimands in clinical trials: making the hypothetical strategy concrete
I
iatrogenic complications	The risk of valvular heart disease after childhood cancer: contribution of dose-volume histogram parameters
ICU trials	Harmonization of endpoints in ICU trials using multi-state modelling
Identification	Identification of causal effects in case-control studies
IgA nephropathy	Multiple Cox regression analysis to investigate a biomarker in IgA nephropathy disease: different approaches
Immortal time bias	Immortal time bias for life-long conditions in retrospective observational studies using electronic heath records
Immortal-time bias	Incident and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a systematic review
Immuno-oncology	Non-proportional hazards in immuno-oncology: Is an old perspective needed?
immunotherapy trial	Bayesian Predictive Model Averaging for Joint Model of Survival and Longitudinal Data: Application to an Immunotherapy Trial
imperfect gold	Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard
imputation	Multiple imputation for survival analysis with missing data and a cure fraction: a study of osteosarcoma Estimating time to confirmed disease progression in observational data sources with irregular visit schedules Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration. Missing data imputation for non-stationary time series in mHealth data
In-hospital mortality	Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA Study
Incidence	Reevaluating dementia incidence trends: The critical role of adequate design and methodology Epilocal: A real-time tool for local epidemic monitoring
Incidence density sampling	Conditional and unconditional logistic regression analysis of matched case-control studies of recurrent events
Incident-user design	Incident and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a systematic review
Inconsistency	Loop-splitting in network meta-analysis: a new approach to evaluating loop inconsistency
incubation time	Estimation of incubation time and latency time distribution of SARS-CoV-2: the impact of distributional assumptions
India	Application of three level multiple imputation to national surveys
Indirect evidence	Analysis methods for personalized randomized controlled trial (PRACTical) Loop-splitting in network meta-analysis: a new approach to evaluating loop inconsistency
individual differences	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making
Individual participant data	Component Network Meta-Analysis Including Individual Participant Data and Summary Aggregate Data Bayesian network meta-analysis methods for combining IPD and aggregate data from single-arm studies and RCTs
Individual Participant Data Meta-Analysis	Assessing risk of bias in individual participant data meta-analyses for prediction model research
Individual prediction	Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
individual-based modelling	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
individualized prediction models	Decision curve analysis for treatment benefit in a network meta-analysis framework
Individualized predictions
inequality	Indices of inequality to monitor temporal and geographic trends in COVID-19 incidence and death data
Infant mortality	Mixed Modeling of Regional Infant Mortality Data over Twenty Years in North Rhine-Westphalia.
infection fatality rate	Bayesian disease mapping of standardized infection fatality rate using the example of COVID-19 in Bavaria
Infectious Disease	Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor Analysis
Infectious Diseases	Dynamic predictive modelling of the first wave of the COVID-19 pandemic in Canada using a deterministic density-dependent susceptible-exposed-infected-recovered (SEIR) model that accounts for age-stratified ageing, reporting delays and mortality risks. Spatial analyses of the first wave of COVID-19 cases in Hong-Kong using Poisson intrinsic and Besag York Mollié conditional autoregressive models under a Bayesian paradigm
influential points	On the implications of influential points for the selection and reproducibility of MFP models
information anchoring	Reference based multiple imputation for trials – what’s the right variance and how to estimate it?
information sharing	Monotonicity Rules for Inference in Basket Trials
information theory	Bias in evaluation of discrete surrogate outcomes, due to separation: a penalized likelihood solution
informative visit	Estimating time to confirmed disease progression in observational data sources with irregular visit schedules
Innovative interpretation methods	Use of machine learning models combined with innovative interpretation methods to identify prognostic factors
Innovative methods	Use of innovative methods to estimate a reliable French pathological complete response rate on real world data
Instrumental variables	The impact of instruments’ selection on Mendelian randomization results: a case study
inteference	Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
intensive longitudinal data	Dynamic structural equation modeling for intensive longitudinal data
Interaction	Joint contribution of positive and total lymph nodes number in predicting overall survival of esophageal cancer Challenges in Factorial Design Randomized Control Trials
Interactions	Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches Feature selection in multivariate varying-coefficient mixed models for drug response prediction On the marginality principle, with a focus on ratios and interactions
interactive	MSMplus: A dynamic interactive web tool for presentation of multi-state model analysis results
Interactive graphics	Developing a Novel Interactive Multifaceted Graphic for Treatment Ranking within Network Meta-Analysis
Interim analysis	A stochastically curtailed two-arm randomised phase II trial design for binary outcomes Interim analysis of a clinical trial using the predictive probability of success based on a surrogate endpoint A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints
International Classification of Diseases	Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning
Interoperability	Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration.
interpretability	Interpretable effect estimates of semi-structured predictors in deep distributional regression models
Interrupted time series	Meta-analysis methods used in systematic reviews of interrupted time series studies
Interval sampling	Testing for ignorable sampling bias under random double truncation
interval-censored data	Modelling the duration of recurrent events from interval-censored data
Intervention studies	One small clinical trial design to provide additional evidence of treatment effects than single-arm trials.
interventional effects	Pathways to inequalities in child mortality: a population level study in Wales
Inverse probability of treatment weighting	Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
Inverse probability weighting	Multiple imputation for missing data in case-cohort studies: simulation and case study Benefit-based organ allocation in liver transplantation Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
IPD meta-analysis	Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis
IPTW	Comparison of two causal inference methods for multiple treatments in clinical research on observational data
isolation	Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions
Item Response Theory	Healthy life expectancy computation using the Item Response Theory combined with a joint modeling approach
J
jack-knife	A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power
Joint model	Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials
Joint modeling	Bayesian Predictive Model Averaging for Joint Model of Survival and Longitudinal Data: Application to an Immunotherapy Trial Causal assessment of surrogacy for time-to-event endpoints using meta-analytic data Comparing risk prediction models in longitudinal context Impact of model choice when studying the relationship between blood pressure variability and risk of stroke
Joint modelling	Joint modelling of the temporal relationships between multivariate longitudinal markers of Alzheimer’s disease progression and clinical endpoints Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome Longitudinal progression of frailty in older population and risk of adverse events: An application of joint models Individual dynamic predictions in joint analysis of non-linear longitudinal model and parametric competing risk model: application to sepsis patients
Joint modelling for longitudinal and survival data	Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of failure
joint models	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data Healthy life expectancy computation using the Item Response Theory combined with a joint modeling approach Bayesian multilevel nonlinear joint model to characterize the variability in the response to immunotherapy A general framework and implementation for variance modelling in joint model settings Non-linear dynamic indices summarize densely sampled longitudinal data
Joint models for time to event and longitudinal data	Personalized Schedules for Invasive Diagnostic Tests: With Applications in Surveillance of Chronic Diseases
K
Kaplan-Meier test	Relation between women empowerment and birth interval: A survival analysis approach
kernel density estimation	Kernel density estimation for circular data about COVID-19 in the Czech Republic
Kidney function	Estimating the causal effect of direct-acting antiviral agents on kidney function in a clinical cohort of chronic Hepatitis C patients
KIR	Reconstructing KIR haplotypes taking ambiguous and missing data into account
Klebsiella pneumoniae	Predictors of Multidrug Resistance in Nosocomial Pneumonia among Intensive Care Units’ Patients of a Tertiary Hospital, Egypt
knee society score	Functional analysis of temporal data about patient’s health condition after total knee replacement
Kullback-Leibler divergence	Quantifying the robustness of primary analysis results: a case study on missing outcome data in pairwise and network meta-analysis
L
lab tests	Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions
Landmark	Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach Landmark Prediction of Survival for HIV-infected Patients by Considering AIDS as an Intermediate Event
Landmark analysis	Benefit-based organ allocation in liver transplantation
Landmark approach	Parametric Landmark estimation of the transition probabilities in survival data with multiple events
Landmark modeling	Comparing risk prediction models in longitudinal context
Landmarking	Landmarking: An R package for analysis using landmark models
Laplace approximations	Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data
Lasso	Selective inference for the Lasso in statistical practice
Last observation carried forward
Late-onset toxicity	Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression A methodological review of phase I designs with late-onset toxicities and incomplete follow-up
Latency	The use of mixed logistic modelling in the analysis of HIV latency study data in the context of low sample size and low outcome rates
latency time	Estimation of incubation time and latency time distribution of SARS-CoV-2: the impact of distributional assumptions
latent class	A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard
Latent class growth models	Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
latent class model	Evaluating DNA sequencing performance: concordance-discordance model and latent class model
Latent Markov models	Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma
latent variable	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth A new approach to measure frailty in the context of COVID-19 population Multidimensional mediators: Comparison between statistical methods using Data simulation
Latent variable method	Investigating Down syndrome by integrating methylation and glycomics using supervised PO2PLS
Latent Variable Models	Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis
latent variable models with interaction	Non-linear and non-additive associations between the pregnancy exposome and birthweight
lead-time	The Natural History of Invasive Breast Cancers Detected in the Scandinavian Mammography Screening Programs: A Cohort Study
Learning Curve	Improving model performance estimation in high-dimensional data settings by using learning curves
Left truncation	The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin
left-truncation	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology
Length of stay	Modelling the length of stay of COVID-19 patients using a multistate approach Predictors of Multidrug Resistance in Nosocomial Pneumonia among Intensive Care Units’ Patients of a Tertiary Hospital, Egypt
Length-biased Sampling	Confidence bands of the MRL function in some right censored prevalent cohort studies via the empirical likelihood
life expectancy	Healthy life expectancy computation using the Item Response Theory combined with a joint modeling approach Immortal time bias for life-long conditions in retrospective observational studies using electronic heath records
Life table	A non-mixture cure model with frailty correction for inaccurate background mortality to estimate time-to-cure.
life years lost	Predicting individual life years lost due to cancer using pseudo-observations with random forest, in the absence of cause of death information
lifestyle modification	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
Lifetables	The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables
likelihood penalization	Separation in Marginal Logistic Regression Models
lineage	Nowcasting the spread of COVID-19 to inform control policies in Hong Kong
linear combination	Comparison of methods for the linear combination of biomarkers under Youden Index optimisation criterion
Linear mixed effects model	Mixed Modeling of Regional Infant Mortality Data over Twenty Years in North Rhine-Westphalia.
Linear mixed model	Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials
Linear mixed models	Explained Variation in the Linear Mixed Model
Linear mixed-effects models	Pain Management in Immediate Life Support Ambulances
linear regression models	Linear statistical models and ridge regression used in shape index calculation on human face
Linearity assumptions	Dangers of wrongly assuming linearity in a trial sample size calculation when treatment affects rate of change
link function	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology
Liver allocation	Benefit-based organ allocation in liver transplantation
LMPL
Local incidence	Prediction of cancer incidence in areas without registries using proxy and registry data
Lockdown
Log-rank test	Weighted hazard ratio for time to event endpoints under non proportional hazards Non-proportional hazards in immuno-oncology: Is an old perspective needed? A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power Relation between women empowerment and birth interval: A survival analysis approach
Logistic regression	A comprehensive comparison of approaches for the calibration of probability machines The use of mixed logistic modelling in the analysis of HIV latency study data in the context of low sample size and low outcome rates Separation in Marginal Logistic Regression Models
longitudinal	Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
longitudinal cluster randomized trials	Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored
longitudinal covariates	Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival models
Longitudinal data	Estimating treatment effects on survival in an entirely treated cohort: negative controls in longitudinal data Joint Modeling of Incomplete Longitudinal Data and Time-to-Event Data Benefit-based organ allocation in liver transplantation FORECAST ALZHEIMER'S DISEASE PROGRESSION TO BETTER SELECT PATIENTS FOR CLINICAL TRIALS Comparison of multiple dynamic predictive accuracies Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach Mediation with a survival outcome and time-varying mediator: empirical comparison and use in observational data Bayesian multivariate longitudinal data analysis assuming different association structures Trajectory clustering using mixed classification models
Longitudinal data analysis	Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome Comparing risk prediction models in longitudinal context Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis Semi-variogram approach to estimate within-subject variability in repeated measurements
Longitudinal growth model	A geometric Brownian motion model with non-normal random effect for the prediction of the growth of abdominal aortic aneurysms
Longitudinal outcome	Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials
longtudinal models	Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis
Low outcome rate	The use of mixed logistic modelling in the analysis of HIV latency study data in the context of low sample size and low outcome rates
Lower Limit of Quantification	Lower Limit of Quantification in various distributed data: examining confidence interval variations
lung cancer	Video-Assisted Non-Intubated Lobectomies for Lung Cancer: A Systematic Review and Meta-Analysis
M
MACE	Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
machine learning	Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved A comprehensive comparison of approaches for the calibration of probability machines Predicting individual life years lost due to cancer using pseudo-observations with random forest, in the absence of cause of death information Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning ERNEST: A Representation Learning-based Cross-Subject EEG Channel Selection Algorithm Performance measures for assessing machine learning algorithms in clinical trials Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches Machine learning, G-computation and small sample sizes: a simulation study Pharmacometrics-Informed Deep Learning with DeepNLME Temporal and relational machine learning for biostatistical and other scientific applications Creation of adverse drug reactions assessment tool Virtual biopsy in action: a radiomic-based model for CALI prediction Nguyen’s Information Criteria (NIC) Machine learning to support Reinke’s edema diagnosis from voice recordings
Machine learning methods	Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
Machine Learning models	Use of machine learning models combined with innovative interpretation methods to identify prognostic factors
mammography screening	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth The Natural History of Invasive Breast Cancers Detected in the Scandinavian Mammography Screening Programs: A Cohort Study
mapping	Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia
marginal and conditional effects	Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown
Marginal structural models	Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
Marginality principle	On the marginality principle, with a focus on ratios and interactions
Marginalized Two-part Joint Model	Marginalized two-part joint modeling of longitudinal semi-continuous responses and survival data: with application to medical expenses
Martingale theory	A martingale based approach for modelling the alternating recurrences in Cystic Fibrosis patients
Master Protocol	Seamless Master Protocol with account for correlations within subgroups
Matching	The role of the matching algorithm in an analysis of the effect of hemoadsorption in patients with sepsis
maximally selected statistics	Analysing ordinal endpoints in two-arm randomized clinical trials
Maximum Likelihood Method	Lower Limit of Quantification in various distributed data: examining confidence interval variations
MCP-Mod	Model selection characteristics when using MCP-Mod for dose-response gene expression data
Mean Residual Life	Confidence bands of the MRL function in some right censored prevalent cohort studies via the empirical likelihood
Mean squared error	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
Mean Survival Time	Bayesian multivariate network meta-analysis model for the difference in restricted mean survival times
measure of separation	A novel score for prognostic index assessment with event-free survival outcome
Measurement error	Impact of measurement error in time-varying prescription-based drug exposures in time-to-event analysis Sensitivity analyses for measurement error using regression calibration or simulation-extrapolation Semi-variogram approach to estimate within-subject variability in repeated measurements
Mecanistic modelling	Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine trial
MedDRA	Bayesian hierarchical modeling for MedDRA coded adverse events in RCTs
medians	Causal inference with skewed outcome data: Moving beyond the “ignore or transform” approach
Mediation	Pathway specific population attributable fractions. Pathways to inequalities in child mortality: a population level study in Wales
mediation analysis	Mediation with Irregular Longitudinal Biomarkers: An Application to Examining Obesity and Severe Disease in COVID-19 Patients Mediation with a survival outcome and time-varying mediator: empirical comparison and use in observational data Causal assessment of surrogacy for time-to-event endpoints using meta-analytic data Multidimensional mediators: Comparison between statistical methods using Data simulation
Medication effect	Tying research question and analytical strategy when variables are affected by medication use
Mendelian Randomization	Caution When Inferring the Effect Direction in Mendelian Randomization The impact of instruments’ selection on Mendelian randomization results: a case study How to deal with collider bias in Mendelian randomization analysis?
meta-analysis	Inclusion of real world data in surrogate endpoint evaluation: a Bayesian meta-analytic approach Component Network Meta-Analysis Including Individual Participant Data and Summary Aggregate Data A framework for meta-analysis of studies with baseline exposure through standardized survival curves Using meta-analysis for external validation of prediction models in big data, accounting for competing risks Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis Meta-analysis of randomised trials with continuous outcomes: methods that adjust for baseline should be used Causal assessment of surrogacy for time-to-event endpoints using meta-analytic data Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis A Bayesian model for heterogeneous treatment effects on the additive risk scale in meta-analysis Loop-splitting in network meta-analysis: a new approach to evaluating loop inconsistency Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards Meta-analysis methods used in systematic reviews of interrupted time series studies Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses Bias in evaluation of discrete surrogate outcomes, due to separation: a penalized likelihood solution
Meta-analytic-predictive (MAP)	Incorporating multiple parameters from historical controls using the meta-analytic-predictive (MAP) prior
Meta-analytic-predictive prior	Propensity Score-Integrated Meta-Analytic-Predictive Priors
Meta-research	Phases of methodological research in biostatistics – a proposal to increase transparency and reproducibility Outcomes reported in randomized clinical trials of depression in geriatric patients: a methodological review
Metabolic syndrome	Does early weight gain mediate the causal effects of severity and duration of depression on the onset of metabolic syndrome?
Metagenomic analysis of the gut microbiota	Diversity indices and statistical methods used in studies addressing dysbiosis applied to composition data of the gut microbiota
Method(s) Validation and/or Comparison	On heuristic detection of maternal-age-related increase of birth defect risk: Experience, issues, alternatives
Methodological development	Phases of methodological research in biostatistics – a proposal to increase transparency and reproducibility
methodological review	Outcomes reported in randomized clinical trials of depression in geriatric patients: a methodological review
Methodology	Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis Marginal structural Cox models in nested case-control studies with time-varying treatments Comparison of two causal inference methods for multiple treatments in clinical research on observational data
Methods comparison	Phases of methodological research in biostatistics – a proposal to increase transparency and reproducibility
mHealth	Missing data imputation for non-stationary time series in mHealth data
MICE	Application of three level multiple imputation to national surveys
micro-randomized trial
Microbiome	Variational Bayes for Model Averaging for Multivariate models using Compositional Microbiome predictors
minimal clinically important difference
minimal data	Pharmacometrics-Informed Deep Learning with DeepNLME
Misclassification	Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of failure
misclassification costs	Tailored Bayesian variable selection for risk prediction modelling under unequal misclassification costs
misfolded protein tau	Can animal studies on rodents help better understand Alzheimer’s disease in humans?
missing
Missing data	Single and multiple imputation combined with missing indicators in clinical prediction models: a simulation study Joint modelling of the temporal relationships between multivariate longitudinal markers of Alzheimer’s disease progression and clinical endpoints Randomization tests to address disruptions in clinical trials Reconstructing KIR haplotypes taking ambiguous and missing data into account Joint Modeling of Incomplete Longitudinal Data and Time-to-Event Data Multiple imputation for missing data in case-cohort studies: simulation and case study Handling missing data from wearable devices in clinical trials Estimands in clinical trials: making the hypothetical strategy concrete Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information Handling missing data for causal effect estimation in longitudinal cohort studies using Targeted Maximum Likelihood Estimation: a simulation study Assessment of Clinical Trial Missing Data During a Pandemic: A Tipping Point Analysis Case Study Estimating time to confirmed disease progression in observational data sources with irregular visit schedules Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration. Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis Target Trial Emulation and Missing Eligibility Data: A study of Palivizumab for child respiratory illness Should multiple imputation be stratified by exposure when estimating causal effects via outcome regression? A comparison of statistical methods to compensate for missing data in longitudinal cluster-randomised trials Sensitivity of results to missing data for clinical trials with discrete, longitudinal outcome measurements A comparison of multiple imputation strategies for handling missing data in repeatedly measured multi-item scales Missing data imputation for non-stationary time series in mHealth data
missing evidence	The Risk Of Bias due to Missing Evidence in Network meta-analysis (ROB-MEN) tool: web application and implementation in a network of antidepressant drugs
Missing indicator	Single and multiple imputation combined with missing indicators in clinical prediction models: a simulation study
Missing not at Random	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator Target Trial Emulation and Missing Eligibility Data: A study of Palivizumab for child respiratory illness
missing outcome data	Quantifying the robustness of primary analysis results: a case study on missing outcome data in pairwise and network meta-analysis
Missing Values	Cluster analysis on emergency COVID-19 data: A result-based multiple imputation for missing data Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
mixed	Assessing the role of hyperventilation in patients with traumatic brain injury: longitudinal data analysis from the CENTER-TBI
mixed censoring	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology
Mixed effects location scale models	Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome
Mixed effects modelling	Landmarking: An R package for analysis using landmark models
mixed model	Confidence, Prediction, Tolerance Intervals in Linear Mixed Models: Applications in (Non)-Clinical Trials Trajectory clustering using mixed classification models
Mixed models	The use of mixed logistic modelling in the analysis of HIV latency study data in the context of low sample size and low outcome rates Bayesian multivariate longitudinal data analysis assuming different association structures
mixture cure models	A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality.
Mixture effect	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
mixture models	An extension of Fellegi-Sunter record linkage model for mixed-type data with application to SNDS
mobile health	Using wristwear device to assess impact of COVID19 lockdown on physical activity
model	Nowcasting the spread of COVID-19 to inform control policies in Hong Kong
model averaging	Bayesian Predictive Model Averaging for Joint Model of Survival and Longitudinal Data: Application to an Immunotherapy Trial
Model for End-stage Liver Disease (MELD)	Benefit-based organ allocation in liver transplantation
Model misspecification	Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored
Model selection	Model selection characteristics when using MCP-Mod for dose-response gene expression data Joint contribution of positive and total lymph nodes number in predicting overall survival of esophageal cancer
Model Sensitivity	Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor Analysis
Model-based analysis	Impact of model misspecification on model-based bioequivalence
Model-Based Clustering	Cluster analysis on emergency COVID-19 data: A result-based multiple imputation for missing data
modeling	Mixed Modeling of Regional Infant Mortality Data over Twenty Years in North Rhine-Westphalia. Impact of STI screening intensity on antibiotic exposure: A modelling study among men who have sex with men in Belgium
Modelling	Mathematical Modelling of COVID-19 Epidemics in Tokyo Metropolitan and New York City Assessing the role of hyperventilation in patients with traumatic brain injury: longitudinal data analysis from the CENTER-TBI
Models	Assessment of performance measures for external validation of multivariable prediction models: Simulations
modular	Modular components in basket trials and connections among the applied tools
Molecular quantitative trait locus studies	ATLASQTL and EPISPOT: two joint hierarchical approaches for detecting and interpreting hotspots in molecular QTL studies
monitoring	Regional estimates of reproduction numbers with application to COVID-19
Monte Carlo simulation	Impact of competing event in COVID-19 clinical data analysis
Monte-Carlo simulation	Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions
Mortality	Epilocal: A real-time tool for local epidemic monitoring
MOVER	Robust statistical inference for the matched net benefit and win ratio.
Multi-armed bandits	Response-adaptive randomization in clinical trials: from myths to practical considerations
Multi-criteria decision analysis
multi-item scale	A comparison of multiple imputation strategies for handling missing data in repeatedly measured multi-item scales
multi-omics data	Feature selection in multivariate varying-coefficient mixed models for drug response prediction
Multi-response model	Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers
Multi-state model	Reevaluating dementia incidence trends: The critical role of adequate design and methodology Frailty Multi-state Model with Time-dependent Covariate for Prediction of Colorectal Cancer Progression
Multi-state modelling	Harmonization of endpoints in ICU trials using multi-state modelling Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study
multi-state models	Parametric Landmark estimation of the transition probabilities in survival data with multiple events MSMplus: A dynamic interactive web tool for presentation of multi-state model analysis results Sensitivity of results to missing data for clinical trials with discrete, longitudinal outcome measurements
Multi-task learning	Feature selection in multivariate varying-coefficient mixed models for drug response prediction
Multidimensional mediators	Multidimensional mediators: Comparison between statistical methods using Data simulation
Multidrug Resistance	Predictors of Multidrug Resistance in Nosocomial Pneumonia among Intensive Care Units’ Patients of a Tertiary Hospital, Egypt
multifactorial intervention	Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
multilevel	Application of three level multiple imputation to national surveys Assessing the role of hyperventilation in patients with traumatic brain injury: longitudinal data analysis from the CENTER-TBI A comparison of statistical methods to compensate for missing data in longitudinal cluster-randomised trials
Multilevel data	Bayesian multilevel nonlinear joint model to characterize the variability in the response to immunotherapy
multilevel modelling	Estimating time to confirmed disease progression in observational data sources with irregular visit schedules
multilevel models	A general framework and implementation for variance modelling in joint model settings THE JOY OF PSEUDO-VALUES HANDLING NEGATIVE CORRELATION AND/OR OVER/UNDERDISPERSON IN GAUSSIAN AND NON-GAUSSIAN HIERARCHICAL DATA Semi-variogram approach to estimate within-subject variability in repeated measurements
multimorbidity	Challenges of using big health data to identify patterns of anxiety and depression in multimorbid population
Multiple Cox regression analysis	Multiple Cox regression analysis to investigate a biomarker in IgA nephropathy disease: different approaches
multiple imputation	Multiple imputation in propensity score matching: obtaining correct confidence intervals Reference based multiple imputation for trials – what’s the right variance and how to estimate it? Application of three level multiple imputation to national surveys Multiple imputation for missing data in case-cohort studies: simulation and case study Handling missing data from wearable devices in clinical trials Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships Cluster analysis on emergency COVID-19 data: A result-based multiple imputation for missing data Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information Target Trial Emulation and Missing Eligibility Data: A study of Palivizumab for child respiratory illness Should multiple imputation be stratified by exposure when estimating causal effects via outcome regression? A comparison of statistical methods to compensate for missing data in longitudinal cluster-randomised trials A comparison of multiple imputation strategies for handling missing data in repeatedly measured multi-item scales
multiple mediation analysis	Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown
Multiple outcomes
Multiple primary hypotheses	Improved group sequential Holm procedures for testing multiple correlated hypotheses over time
multiple sclerosis	Flexible generic framework for evidence synthesis in health technology assessment
multiple testing	Graphical approaches for the control of generalized error rates
multiple tests	Confidence intervals for the treatment effect in the Magnusson-Turnbull adaptive enrichment design
multiple thresholds	Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard
multiple time points	Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis
multiple time-point interventions	TMLE for Causal Effects based on continuous time longitudinal data structures
multiplicity correction	Introducing GINGER - a General simulation-INterpolation tool for designing multiGroup ExpeRiments
multistate model	Modelling the length of stay of COVID-19 patients using a multistate approach
Multistate models	Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of failure Extending multistate models with g-computation to evaluate the effect of treatment timing
Multivariable	Assessment of performance measures for external validation of multivariable prediction models: Simulations
multivariable analysis
multivariable model-building	On the implications of influential points for the selection and reproducibility of MFP models
Multivariate data	Bayesian multivariate longitudinal data analysis assuming different association structures
Multivariate longitudinal data	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
Multivariate markers	Joint modelling of the temporal relationships between multivariate longitudinal markers of Alzheimer’s disease progression and clinical endpoints
Multivariate meta-analysis	Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis
multivariate Student-t distribution	Spatio-temporal score driven modeling of resting state fMRI data
mutant	Nowcasting the spread of COVID-19 to inform control policies in Hong Kong
N
national clinical datasets	Linkage of national clinical datasets without patient identifiers using probabilistic methods
Natural Language Processing	CamemBERT word-embedding for Information Extraction in a Biomedical Context
Negative control outcomes	Estimating treatment effects on survival in an entirely treated cohort: negative controls in longitudinal data
Negative Predictive Value	Mathematical proof of the equivalence between Post-test Predictive Probabilities and Predictive Values
neonates	Time to readmission among newborns: time for a reappraisal?
nephrology	Causal inference in practice: two case studies in nephrology
Nested case-control design	Comparison of statistical methods for estimating time-varying treatment effect on adverse event risk
net benefit	Operational characteristics of generalized pairwise comparisons for hierarchically ordered endpoints
Net survival	A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality A non-mixture cure model with frailty correction for inaccurate background mortality to estimate time-to-cure.
network	Patient heterogeneity assessments via network-based ANOVA
network analysis	Temporal and relational machine learning for biostatistical and other scientific applications Subject-specific networks as features for predictive modelling - A scoping review of methods
Network meta-analysis	Bayesian multivariate network meta-analysis model for the difference in restricted mean survival times Component Network Meta-Analysis Including Individual Participant Data and Summary Aggregate Data Bayesian network meta-analysis methods for combining IPD and aggregate data from single-arm studies and RCTs Network meta-analysis and random walks The Risk Of Bias due to Missing Evidence in Network meta-analysis (ROB-MEN) tool: web application and implementation in a network of antidepressant drugs Decision curve analysis for treatment benefit in a network meta-analysis framework Loop-splitting in network meta-analysis: a new approach to evaluating loop inconsistency Effects of probiotics on mortality and morbidity in preterm infants: a Bayesian network meta-analysis of randomized and non-randomized studies Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses Non-inferiority trials with indirect evidence of assay sensitivity using network meta-analysis Developing a Novel Interactive Multifaceted Graphic for Treatment Ranking within Network Meta-Analysis
network meta-regression	Flexible generic framework for evidence synthesis in health technology assessment
neural differential equations	Pharmacometrics-Informed Deep Learning with DeepNLME
Neural Networks	Survival Predictions and Uncertainty Measures with Censored Data Neural networks for survival prediction in medicine: a review and critical appraisal
neurodegenerative disease	FORECAST ALZHEIMER'S DISEASE PROGRESSION TO BETTER SELECT PATIENTS FOR CLINICAL TRIALS
Neurodegenerative Diseases	Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis
Next generation sequencing	COMET: an R package to identify sample cross-contamination in whole genome sequencing studies
NGS	Evaluating DNA sequencing performance: concordance-discordance model and latent class model
non-adherance	Simulations to assess the impact of non-adherance due to COVID-19 in a cluster-randomized non-inferiority trial
Non-compartmental analysis	Impact of model misspecification on model-based bioequivalence
non-convex optimization
non-homogenuous Poisson model	Modelling time varying recruitment rates and site activation prediction in multicentre clinical trials: A comparison study.
non-ignorable
non-inferiority	Bayes Factors for Equivalence, Non-inferiority, and Superiority Designs Using baymedr Adaptive designs for three-arm gold-standard non-inferiority trials
non-inferiority trials	Non-inferiority trials with indirect evidence of assay sensitivity using network meta-analysis
non-intubated lung resection	Video-Assisted Non-Intubated Lobectomies for Lung Cancer: A Systematic Review and Meta-Analysis
non-intubated VATS lobectomy	Video-Assisted Non-Intubated Lobectomies for Lung Cancer: A Systematic Review and Meta-Analysis
non-linear mixed effects model	Individual dynamic predictions in joint analysis of non-linear longitudinal model and parametric competing risk model: application to sepsis patients
non-normal random effect	A geometric Brownian motion model with non-normal random effect for the prediction of the growth of abdominal aortic aneurysms
Non-proportional hazards	Weighted hazard ratio for time to event endpoints under non proportional hazards Non-proportional hazards in immuno-oncology: Is an old perspective needed? Methods for analyzing time-to-event endpoints in immuno-oncological trials with delayed treatment effects Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards Modeling Non-Proportional Hazards for Overall Survival Time for Cancer Treatments
Non-Small-Cell Lung Carcinoma	Bayesian multivariate network meta-analysis model for the difference in restricted mean survival times
non-stationarity	Missing data imputation for non-stationary time series in mHealth data
Nonlinear mixed effects models	Pharmacometrics-Informed Deep Learning with DeepNLME Impact of model misspecification on model-based bioequivalence
Nonlinear mixed models	Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers
nonparametric	Testing for Heterogeneity in the Utility of a Surrogate Marker Estimation of incubation time and latency time distribution of SARS-CoV-2: the impact of distributional assumptions
nonparametric Bayesian methods	A Bayesian nonparametric approach for modeling SF-6D health state utility scores
Nonparametric methods	Testing for ignorable sampling bias under random double truncation
North Rhine-Westphalia	Mixed Modeling of Regional Infant Mortality Data over Twenty Years in North Rhine-Westphalia.
nosocomial transmission	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
nowcast	Nowcasting the spread of COVID-19 to inform control policies in Hong Kong
O
O2PLS	Investigating Down syndrome by integrating methylation and glycomics using supervised PO2PLS
observational data	Estimating treatment effects on survival in an entirely treated cohort: negative controls in longitudinal data A framework for meta-analysis of studies with baseline exposure through standardized survival curves Mediation with a survival outcome and time-varying mediator: empirical comparison and use in observational data
Observational evidence	Bayesian network meta-analysis methods for combining IPD and aggregate data from single-arm studies and RCTs
observational studies	Confounder selection strategies targeting stable treatment effect estimators Flexible generic framework for evidence synthesis in health technology assessment Immortal time bias for life-long conditions in retrospective observational studies using electronic heath records
Observational study	Variance estimators for weighted and stratified linear dose-response function estimators using generalized propensity score
obstructive sleep apnea	A Hidden Markov model segmentation to identify trajectories in sleep apnoea patients
ODE-based models	Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine trial
Omics	Improving model performance estimation in high-dimensional data settings by using learning curves Fast marginal likelihood estimation of penalties for group-adaptive elastic net Biologically-informed development of treatment selection scores from high-dimensional omics data
Omics integration	Investigating Down syndrome by integrating methylation and glycomics using supervised PO2PLS
oncology	Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved A stochastically curtailed two-arm randomised phase II trial design for binary outcomes RECeUS: Ratio Estimation of Censored Uncured Subjects for Studying Sufficient Follow-Up in Studies of Long-Term Survivors Biologically-informed development of treatment selection scores from high-dimensional omics data
Oncology trials	Additional benefit method assessment for time-to-event endpoints – A comparison of ESMOs and IQWiGs approach
open cohort	Under what conditions do open-cohort cluster RCTs provide improvements over conventional designs? A simulation study.
opioids	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
optimal design	Optimal design of cluster randomized trials with baseline data comparing routine care to a new intervention Longitudinal cluster randomised trials with continuous recruitment
optimum dose	Patient-specific dose finding in seamless phase I/II clinical trials
Oral prednisolone	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
ordered probit model	Treating ordinal outcomes as continuous quantities: when, why and how.
ordinal	STATISTICAL METHODS TO ANALYSE ORDINAL CATEGORICAL DATA ARISING FROM THE CLINICAL TRIAL OF DRUGS FROM THE PHARMACEUTICAL INDUSTRY
ordinal data
ordinal endpoints	Analysing ordinal endpoints in two-arm randomized clinical trials
ordinal outcome	Treating ordinal outcomes as continuous quantities: when, why and how.
ordinal regression	Treating ordinal outcomes as continuous quantities: when, why and how.
Ordinary Differential Equations	A Bayesian approach to estimating dynamic models of co-regulated gene expression A new epidemic model for the Covid-19 pandemic
osteoarthritis	Functional analysis of temporal data about patient’s health condition after total knee replacement Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent Covariates
Osteosarcoma	Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma Multiple imputation for survival analysis with missing data and a cure fraction: a study of osteosarcoma
outcome measurement	Outcomes reported in randomized clinical trials of depression in geriatric patients: a methodological review
Overrunning	Improved group sequential Holm procedures for testing multiple correlated hypotheses over time
P
P-values	The p-value conundrum: how can a Bayesian analysis help? A case study in reproductive and maternal-fetal medicine
Paediatric ophthalmology	Effect of impaired vision on physical activity from childhood to adolescence
Pain management	Pain Management in Immediate Life Support Ambulances
Pain Therapy	Substitution of study control group by historic controls: Effect on study results using the example pain therapy for endometriosis
paired data design	Robust statistical inference for the matched net benefit and win ratio.
Pandemic curve flattening
Parametric inference	Bayesian inference for the direct approach for competing risk modeling with Gompertz distribution
Partly conditional transition rate	Statistical inference for transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
path analysis	Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown
pathological voice	Machine learning to support Reinke’s edema diagnosis from voice recordings
Patient allocation	Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods Response-adaptive randomization in clinical trials: from myths to practical considerations
patient identifiers	Linkage of national clinical datasets without patient identifiers using probabilistic methods
Patient preference
patient-level covariate	A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis
patient-reported outcome
patients' heterogeneity	Patient-specific dose finding in seamless phase I/II clinical trials
PCA	Can animal studies on rodents help better understand Alzheimer’s disease in humans?
pediatric cancer	The true power of clinical trials in pediatric cancers and other rare diseases
Pediatrics	Semi-variogram approach to estimate within-subject variability in repeated measurements
Penalised generalised linear models	Fast marginal likelihood estimation of penalties for group-adaptive elastic net
penalized likelihood	Bias in evaluation of discrete surrogate outcomes, due to separation: a penalized likelihood solution
penalized log-likelihood	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology
Penalized logistic regression	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
Penalized natural spline	Joint contribution of positive and total lymph nodes number in predicting overall survival of esophageal cancer
Perfect Tree	Nguyen’s Information Criteria (NIC)
Performance	Assessment of performance measures for external validation of multivariable prediction models: Simulations
Performance measures	Performance measures for assessing machine learning algorithms in clinical trials
personal protective equipment	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
Personalised Medicine	A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis A comparison of dual biomarker threshold identification procedures within a confirmatory clinical trial
personalized medicine	Personalized Schedules for Invasive Diagnostic Tests: With Applications in Surveillance of Chronic Diseases Patient heterogeneity assessments via network-based ANOVA Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival models
personalized prediction models	Decision curve analysis for treatment benefit in a network meta-analysis framework
Personalized randomisation	Analysis methods for personalized randomized controlled trial (PRACTical)
PET/CT medical imaging	Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features
Pharmaco-epidemiology	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
Pharmacoepidemiology	Comparison of statistical methods for estimating time-varying treatment effect on adverse event risk
Pharmacokinetics	Impact of model misspecification on model-based bioequivalence
Pharmacokinetics/pharmacodynamics	Bayesian joint modeling of a bivariate toxicity for dose-regimens in early phase oncology
pharmacometrics	Pharmacometrics-Informed Deep Learning with DeepNLME
pharmacovigilance	Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets Creation of adverse drug reactions assessment tool
phase I cancer clinical trials	Early completion of phase I cancer clinical trials with Bayesian optimal interval design
phase II trials	Monotonicity Rules for Inference in Basket Trials
phenomenological models	An evaluation of the stability, precision and performance of phenomenological models applied to COVID-19 cases and deaths in South Africa
Physical activity	Effect of impaired vision on physical activity from childhood to adolescence
Physical education	Effect of impaired vision on physical activity from childhood to adolescence
platform trial	Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials
Platform trial design	Fast-tracking clinical trial innovations – a COVID-19 silver lining
Platform trials	Online control of the False Discovery Rate in platform trials
PLS-DA	Can animal studies on rodents help better understand Alzheimer’s disease in humans?
Pneumonia	Predictors of Multidrug Resistance in Nosocomial Pneumonia among Intensive Care Units’ Patients of a Tertiary Hospital, Egypt
Poincare plots	Non-linear dynamic indices summarize densely sampled longitudinal data
point estimation	A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints
Poisson Distribution	Trials of Vaccine Efficacy for COVID-19: Inferential and Practical Issues
Poisson Model	The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables
Polygenic risk	Exploring risk stratification in cardiomyopathies using a deep learning approach for survival prediction
Polygenic risk scores	A comparison of prioritisation tools for CVD risk assessment in UK Biobank: Primary care records versus polygenic risk scores
polynomial trend	Small-sample accuracy of approximations of individual polynomial growth curves’ prediction error in linear mixed regression
Pompe disease	Bayesian multivariate longitudinal data analysis assuming different association structures
Population Attributable Fraction	Pathway specific population attributable fractions.
population based	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
population based cancer registry	A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality.
population finding	Biomarker-based Bayesian randomized clinical trial for population finding with efficient reduction of sample size
population-based cohort study	Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data
Positive Predictive Value	Mathematical proof of the equivalence between Post-test Predictive Probabilities and Predictive Values
Post-selection inference	Valid post-selection inference for cox regression parameters, with and without the proportional hazards assumption.
Post-test Predictive Probability	Mathematical proof of the equivalence between Post-test Predictive Probabilities and Predictive Values
post-treatment score	STATISTICAL METHODS TO ANALYSE ORDINAL CATEGORICAL DATA ARISING FROM THE CLINICAL TRIAL OF DRUGS FROM THE PHARMACEUTICAL INDUSTRY
potential survival	Challenges and opportunities for learning from long term disease registers: - Causal inference
power	Impact of competing event in COVID-19 clinical data analysis Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome The true power of clinical trials in pediatric cancers and other rare diseases
Power calculation	SteppedPower - an R Package for Power Calculation in Stepped Wedge Cluster Randomised Designs
Power prior	Propensity Score-Integrated Meta-Analytic-Predictive Priors
pragmatic trials	Using routinely collected data to conduct a pragmatic randomized controlled trial: an example addressing antibiotic prescription and resistance monitoring in Swiss primary care
Pre-hospital Care	Pain Management in Immediate Life Support Ambulances
Pre-test Predictive Probability	Mathematical proof of the equivalence between Post-test Predictive Probabilities and Predictive Values
Precision medicine	Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods Improved group sequential Holm procedures for testing multiple correlated hypotheses over time Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features Modular components in basket trials and connections among the applied tools Biologically-informed development of treatment selection scores from high-dimensional omics data Estimating the treatment selection ability of a marker: review, comparison, and improvement of existing approaches An early-phase clinical trial design in oncology with generalization ability
precision oncology	Feature selection in multivariate varying-coefficient mixed models for drug response prediction
Precision/personalized medicine	Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration.
Preclinical to human extrapolation	Bayesian extrapolation from pre-clinical data to human
prediction	Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets Neural networks for survival prediction in medicine: a review and critical appraisal Confidence, Prediction, Tolerance Intervals in Linear Mixed Models: Applications in (Non)-Clinical Trials Using Historical Data to Predict Health Outcomes – The Prediction Design COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 Biologically-informed development of treatment selection scores from high-dimensional omics data Testing for Heterogeneity in the Utility of a Surrogate Marker Subject-specific networks as features for predictive modelling - A scoping review of methods The Need for Expanded Standardized Reporting for Machine Learning Methods in Clinical Prediction
Prediction accuracy	Comparison of multiple dynamic predictive accuracies Comparing risk prediction models in longitudinal context
Prediction model	Using meta-analysis for external validation of prediction models in big data, accounting for competing risks A geometric Brownian motion model with non-normal random effect for the prediction of the growth of abdominal aortic aneurysms Minimum sample size for external validation of a clinical prediction model with a binary or time-to-event outcome Propensity-based standardization to enhance the interpretation of prediction model discrimination
Prediction Models	An extension to reporting guidelines for systematic reviews of prediction model studies (TRIPOD-SRMA) Assessing risk of bias in individual participant data meta-analyses for prediction model research
predictive modeling	Parametric and non-parametric variable selection methods for predictive modeling with binary response
Predictive modelling	Dynamic predictive modelling of the first wave of the COVID-19 pandemic in Canada using a deterministic density-dependent susceptible-exposed-infected-recovered (SEIR) model that accounts for age-stratified ageing, reporting delays and mortality risks.
predictive models	Modelling time varying recruitment rates and site activation prediction in multicentre clinical trials: A comparison study.
Predictive performance	Minimum sample size for external validation of a clinical prediction model with a binary or time-to-event outcome
Predictive probability of success	Interim analysis of a clinical trial using the predictive probability of success based on a surrogate endpoint
predictive values	Double cut-point identification of continuous diagnostic test variables for clinical use
Preference-based health measure	A Bayesian nonparametric approach for modeling SF-6D health state utility scores
Prescription-based drug exposure	Impact of measurement error in time-varying prescription-based drug exposures in time-to-event analysis
preterm infant	Effects of probiotics on mortality and morbidity in preterm infants: a Bayesian network meta-analysis of randomized and non-randomized studies
Prevalent Cohort	Confidence bands of the MRL function in some right censored prevalent cohort studies via the empirical likelihood
Prevalent-user design	Incident and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a systematic review
principal stratification	Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm
Prior distributions	Bayesian extrapolation from pre-clinical data to human
Prior information	Fast marginal likelihood estimation of penalties for group-adaptive elastic net
Prior-data conflict	Compromise Bayesian test decisions under type I error rate constraint
prioritized outcomes	Robust statistical inference for the matched net benefit and win ratio.
Probabilistic data integration	Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration.
probabilistic linkage	Linkage of national clinical datasets without patient identifiers using probabilistic methods
Probability estimation	A comprehensive comparison of approaches for the calibration of probability machines
Probability machine	A comprehensive comparison of approaches for the calibration of probability machines
Probiotics	Effects of probiotics on mortality and morbidity in preterm infants: a Bayesian network meta-analysis of randomized and non-randomized studies
probit link	Treating ordinal outcomes as continuous quantities: when, why and how.
prognistic index evaluation	A novel score for prognostic index assessment with event-free survival outcome
prognosis	Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions
Prognostic factors	Use of machine learning models combined with innovative interpretation methods to identify prognostic factors
Prognostic model	Joint contribution of positive and total lymph nodes number in predicting overall survival of esophageal cancer
Projection-based estimation	Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
Propensity score	Propensity-based standardization to enhance the interpretation of prediction model discrimination Use of innovative methods to estimate a reliable French pathological complete response rate on real world data Substitution of study control group by historic controls: Effect on study results using the example pain therapy for endometriosis
propensity score matching	Multiple imputation in propensity score matching: obtaining correct confidence intervals
Propensity scores	Propensity Score-Integrated Meta-Analytic-Predictive Priors
proportional hazards assumption	Modeling Non-Proportional Hazards for Overall Survival Time for Cancer Treatments
Proportional Hazards Models	Bayesian multivariate network meta-analysis model for the difference in restricted mean survival times
Proportional hazards regression	Benefit-based organ allocation in liver transplantation
proportional odds model	STATISTICAL METHODS TO ANALYSE ORDINAL CATEGORICAL DATA ARISING FROM THE CLINICAL TRIAL OF DRUGS FROM THE PHARMACEUTICAL INDUSTRY
Prospective study	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
Prostate cancer	Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features
pseudo individual participant data	Meta-analysis of randomised trials with continuous outcomes: methods that adjust for baseline should be used
pseudo-observations	Predicting individual life years lost due to cancer using pseudo-observations with random forest, in the absence of cause of death information
Pseudomonas aeruginosa	Predictors of Multidrug Resistance in Nosocomial Pneumonia among Intensive Care Units’ Patients of a Tertiary Hospital, Egypt
psychiatry	Outcomes reported in randomized clinical trials of depression in geriatric patients: a methodological review
public health	Healthy life expectancy computation using the Item Response Theory combined with a joint modeling approach Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses
Public health modelling	A comparison of prioritisation tools for CVD risk assessment in UK Biobank: Primary care records versus polygenic risk scores
Pulmonary Exacerbation	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
Q
Quality control	COMET: an R package to identify sample cross-contamination in whole genome sequencing studies
quality of life	Treating ordinal outcomes as continuous quantities: when, why and how.
quantile regression	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
Quantitative exposure	Variance estimators for weighted and stratified linear dose-response function estimators using generalized propensity score
Quarantine
questionnaires	Possibilities and challenges when analysing large longitudinal data from a population based Norwegian registry (MoBa study).
R
R implementation	Flexible software framework to compare Bayesian hierarchical models across basket trial designs
R package	Landmarking: An R package for analysis using landmark models
Radiomics	Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features Virtual biopsy in action: a radiomic-based model for CALI prediction
Random coefficients approach	Mixed Modeling of Regional Infant Mortality Data over Twenty Years in North Rhine-Westphalia.
random effect models	Healthy life expectancy computation using the Item Response Theory combined with a joint modeling approach
random effects	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth Feature selection in multivariate varying-coefficient mixed models for drug response prediction Statistical methods for estimating sources of variability in count-based biomarkers
random forest	Predicting individual life years lost due to cancer using pseudo-observations with random forest, in the absence of cause of death information
Random Forests	Individual risk prediction: comparing Random Forests with Cox proportional-hazards model by a simulation study
Random slopes models	Dangers of wrongly assuming linearity in a trial sample size calculation when treatment affects rate of change
Random Survival Forest	Modeling Child Mortality in the presence of Clustering
Random walks	Network meta-analysis and random walks
randomised control trials	Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis
Randomised controlled trial	Weighted hazard ratio for time to event endpoints under non proportional hazards
randomised controlled trials	Flexible generic framework for evidence synthesis in health technology assessment Challenges in Factorial Design Randomized Control Trials
Randomization	Randomization tests to address disruptions in clinical trials
randomization inference	Confounder selection strategies targeting stable treatment effect estimators
randomized	Estimating sample size for biomarker-strategy designs with survival endpoints
Randomized Clinical Trials	Harmonization of endpoints in ICU trials using multi-state modelling Bayesian multivariate network meta-analysis model for the difference in restricted mean survival times
randomized controlled trial	Bayesian hierarchical modeling for MedDRA coded adverse events in RCTs
Randomized controlled trials	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
randomized experiments	Methods for combining experimental and population data to estimate population average treatment effects
Ranking	Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features Developing a Novel Interactive Multifaceted Graphic for Treatment Ranking within Network Meta-Analysis
Rapid review	Fast-tracking clinical trial innovations – a COVID-19 silver lining
Rare disease	The true power of clinical trials in pediatric cancers and other rare diseases
rare diseases	One small clinical trial design to provide additional evidence of treatment effects than single-arm trials.
Ratios	On the marginality principle, with a focus on ratios and interactions
RCT	Analysing ordinal endpoints in two-arm randomized clinical trials Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
RCTs	Substitution of study control group by historic controls: Effect on study results using the example pain therapy for endometriosis
Re-analysis	The p-value conundrum: how can a Bayesian analysis help? A case study in reproductive and maternal-fetal medicine
Real world data	Using Historical Data to Predict Health Outcomes – The Prediction Design Use of innovative methods to estimate a reliable French pathological complete response rate on real world data Use of machine learning models combined with innovative interpretation methods to identify prognostic factors Estimating time to confirmed disease progression in observational data sources with irregular visit schedules
real world evidence	Inclusion of real world data in surrogate endpoint evaluation: a Bayesian meta-analytic approach Use of electronic health records to enhance data from a single clinical trial evaluating maintenance therapy in non-small cell lung cancer patients
Real-world data	Using routinely collected data to conduct a pragmatic randomized controlled trial: an example addressing antibiotic prescription and resistance monitoring in Swiss primary care
Real-World evidence	Propensity Score-Integrated Meta-Analytic-Predictive Priors
record linkage	An extension of Fellegi-Sunter record linkage model for mixed-type data with application to SNDS Linkage of national clinical datasets without patient identifiers using probabilistic methods
Recurrent events	Conditional and unconditional logistic regression analysis of matched case-control studies of recurrent events Handling recurrent events in the context of clinical trials A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data Retro-prospective modelling of recurrent events
recurrent events duration	Modelling the duration of recurrent events from interval-censored data
Recurrent-event-models
Registries	Prediction of cancer incidence in areas without registries using proxy and registry data
Registry analysis	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
registry data	Estimating time to confirmed disease progression in observational data sources with irregular visit schedules
registry-based data	Possibilities and challenges when analysing large longitudinal data from a population based Norwegian registry (MoBa study).
registry-based studies	Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information
registry-based study	Functional analysis of temporal data about patient’s health condition after total knee replacement Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent Covariates
regression	Should multiple imputation be stratified by exposure when estimating causal effects via outcome regression?
regression analysis	Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning
Regression calibration	Sensitivity analyses for measurement error using regression calibration or simulation-extrapolation
Regression models	Conditional and unconditional logistic regression analysis of matched case-control studies of recurrent events On the marginality principle, with a focus on ratios and interactions
regression splines	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology
Reinke’s edema	Machine learning to support Reinke’s edema diagnosis from voice recordings
Relative survival	Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables
repeated measures	Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
reporting	Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
reporting bias	The Risk Of Bias due to Missing Evidence in Network meta-analysis (ROB-MEN) tool: web application and implementation in a network of antidepressant drugs
reporting delay	Nowcasting CoVID-19 Deaths in England by Age and Region
Reporting guidelines	An extension to reporting guidelines for systematic reviews of prediction model studies (TRIPOD-SRMA) The Need for Expanded Standardized Reporting for Machine Learning Methods in Clinical Prediction
Representation Learning	ERNEST: A Representation Learning-based Cross-Subject EEG Channel Selection Algorithm
Reproducibility of research	Phases of methodological research in biostatistics – a proposal to increase transparency and reproducibility
reproduction number	Regional estimates of reproduction numbers with application to COVID-19
Reproductive number	Mathematical Modelling of COVID-19 Epidemics in Tokyo Metropolitan and New York City
resampling	A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power
Residential history	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
resilience	Individualizing deep dynamic models for psychological resilience data
resting state fMRI	Spatio-temporal score driven modeling of resting state fMRI data
Restricted Bayes	Compromise Bayesian test decisions under type I error rate constraint
restricted mean time lost	Analysis of competing risks data using restricted mean time lost
Retro-prospective	Retro-prospective modelling of recurrent events
retrospective cohort study	Multiple Cox regression analysis to investigate a biomarker in IgA nephropathy disease: different approaches
Reverse causality	Caution When Inferring the Effect Direction in Mendelian Randomization
review	Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
Ridge regression	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
ridge regression models	Linear statistical models and ridge regression used in shape index calculation on human face
Right Censoring	Confidence bands of the MRL function in some right censored prevalent cohort studies via the empirical likelihood
right-truncation	Nowcasting CoVID-19 Deaths in England by Age and Region
risk classification	New Application of competing risks model in IgA nephropathy to explore the severity-dependent urinary remission
risk difference	A Bayesian model for heterogeneous treatment effects on the additive risk scale in meta-analysis
risk factors	Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets
Risk of Bias	Assessing risk of bias in individual participant data meta-analyses for prediction model research The Risk Of Bias due to Missing Evidence in Network meta-analysis (ROB-MEN) tool: web application and implementation in a network of antidepressant drugs
risk prediction	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
Risk prediction models	Accounting for improvements in survival when developing risk prediction models in a competing risks setting
robust filtering	Spatio-temporal score driven modeling of resting state fMRI data
Robust standard error	Conditional and unconditional logistic regression analysis of matched case-control studies of recurrent events
robustness	Quantifying the robustness of primary analysis results: a case study on missing outcome data in pairwise and network meta-analysis
ROC curve	Double cut-point identification of continuous diagnostic test variables for clinical use
Rshiny	MSMplus: A dynamic interactive web tool for presentation of multi-state model analysis results
S
safety	Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
sample size	On the implications of influential points for the selection and reproducibility of MFP models Estimating sample size for biomarker-strategy designs with survival endpoints Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per patient Adaptive clinical trials with selection of composite endpoints and sample size reassessment Minimum sample size for external validation of a clinical prediction model with a binary or time-to-event outcome The use of mixed logistic modelling in the analysis of HIV latency study data in the context of low sample size and low outcome rates Impact of competing event in COVID-19 clinical data analysis Optimal design of cluster randomized trials with baseline data comparing routine care to a new intervention The true power of clinical trials in pediatric cancers and other rare diseases
sample size calculation	Dangers of wrongly assuming linearity in a trial sample size calculation when treatment affects rate of change Analysis of competing risks data using restricted mean time lost Analysis and sample size calculation for a survival model conditional on a binary surrogate endpoint Sample size calculation for stepped wedge cluster randomized trials with multiple levels of clustering Faster and more agile designs: speeding up the stepped wedge with batched designs
Sampling variability	What is the real prevalence of hypertension in France ?
SAR models	Spatio-temporal score driven modeling of resting state fMRI data
SARS-CoV-2	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
SARS-CoV-2 infection	Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data
SARS-Cov2	Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine trial
school-based	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
Screening	Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study
Screening and surveillance	Personalized Schedules for Invasive Diagnostic Tests: With Applications in Surveillance of Chronic Diseases
Seamless design	Seamless Master Protocol with account for correlations within subgroups
seamless phase I/II trial	Patient-specific dose finding in seamless phase I/II clinical trials
secondary data	Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data
segmented regression	Using wristwear device to assess impact of COVID19 lockdown on physical activity
SEIR	Dynamic predictive modelling of the first wave of the COVID-19 pandemic in Canada using a deterministic density-dependent susceptible-exposed-infected-recovered (SEIR) model that accounts for age-stratified ageing, reporting delays and mortality risks.
SEIR model
selection bias	A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints Challenges and opportunities for learning from long term disease registers: - Causal inference
selective inference	Selective inference for the Lasso in statistical practice
self-isolation threshold	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making
semi-competing risks	New Application of competing risks model in IgA nephropathy to explore the severity-dependent urinary remission
Semi-Continuous	Marginalized two-part joint modeling of longitudinal semi-continuous responses and survival data: with application to medical expenses
semi-structured data	Interpretable effect estimates of semi-structured predictors in deep distributional regression models
semisupervised learning	Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study
sensitivity	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
Sensitivity analyses	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
Sensitivity analysis	Quantifying the robustness of primary analysis results: a case study on missing outcome data in pairwise and network meta-analysis Sensitivity analyses for measurement error using regression calibration or simulation-extrapolation
separation	Separation in Marginal Logistic Regression Models
sequential Cox approach	Causal inference in practice: two case studies in nephrology
sequential multiple assignment randomised trial	A Bayesian decision-theoretic approach to outcome-adaptive sequential multiple assignment randomised trials (SMARTs) with distinct intermediate binary endpoints
SF-6D	A Bayesian nonparametric approach for modeling SF-6D health state utility scores
shape index	Linear statistical models and ridge regression used in shape index calculation on human face
Shared decision making	Personalized Schedules for Invasive Diagnostic Tests: With Applications in Surveillance of Chronic Diseases
Shrinkage	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
simmilarities	Similarities between the COVID-19 spread in Romanian counties identified through data clustering
Simulation	Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per patient The use of mixed logistic modelling in the analysis of HIV latency study data in the context of low sample size and low outcome rates Simulations to assess the impact of non-adherance due to COVID-19 in a cluster-randomized non-inferiority trial
simulation analysis	A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality.
Simulation studies	Performance measures for assessing machine learning algorithms in clinical trials Phases of methodological research in biostatistics – a proposal to increase transparency and reproducibility
Simulation study	Impact of measurement error in time-varying prescription-based drug exposures in time-to-event analysis Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials Machine learning, G-computation and small sample sizes: a simulation study Selective inference for the Lasso in statistical practice Estimating time to confirmed disease progression in observational data sources with irregular visit schedules The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin The role of the matching algorithm in an analysis of the effect of hemoadsorption in patients with sepsis Multidimensional mediators: Comparison between statistical methods using Data simulation
Simulation-Extrapolation	Sensitivity analyses for measurement error using regression calibration or simulation-extrapolation
Simulations	Comparison of statistical methods for estimating time-varying treatment effect on adverse event risk Estimation of incubation time and latency time distribution of SARS-CoV-2: the impact of distributional assumptions Assessment of performance measures for external validation of multivariable prediction models: Simulations
single-cells RNA-seq	Statistical Power for Single Cell Representations
SIR	Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor Analysis
skewed outcome	Causal inference with skewed outcome data: Moving beyond the “ignore or transform” approach
Skin Neoplasms
small area estimation	Regional estimates of reproduction numbers with application to COVID-19
small clinical trials	One small clinical trial design to provide additional evidence of treatment effects than single-arm trials.
small number of clusters	Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome
Small sample corrections	Stepped-wedge cluster randomised trials with binary outcomes and small numbers of clusters: a case study
small samples	A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power
socio-economic inequalities	Pathways to inequalities in child mortality: a population level study in Wales
SOFA score	Individual dynamic predictions in joint analysis of non-linear longitudinal model and parametric competing risk model: application to sepsis patients
software	A general framework and implementation for variance modelling in joint model settings
Software packages
South Africa	An evaluation of the stability, precision and performance of phenomenological models applied to COVID-19 cases and deaths in South Africa
Sparse design	Impact of model misspecification on model-based bioequivalence
spatial analysis	Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia
Spatial Autocorrelation	Spatial analyses of the first wave of COVID-19 cases in Hong-Kong using Poisson intrinsic and Besag York Mollié conditional autoregressive models under a Bayesian paradigm
Spatial Clustering	Spatial analyses of the first wave of COVID-19 cases in Hong-Kong using Poisson intrinsic and Besag York Mollié conditional autoregressive models under a Bayesian paradigm
spatial effects	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology
spatiotemporal models	Application of a spatio-temporal SVEIRD model to COVID-19 epidemic in the Czech Republic
split-mouth study	Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per patient
spontaneous activations	Spatio-temporal score driven modeling of resting state fMRI data
standard gamble	A Bayesian nonparametric approach for modeling SF-6D health state utility scores
standardised incidence ratio	Subsequent primary neoplasms in bladder cancer patients
Standardization	Propensity-based standardization to enhance the interpretation of prediction model discrimination
state space model
Statins	Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
statistical analysis of clinical trials	Using routinely collected data to conduct a pragmatic randomized controlled trial: an example addressing antibiotic prescription and resistance monitoring in Swiss primary care
statistical computing	Modelling the COVID-19 pandemic: initial introduction, lockdown assessment, phasing out Statistical challenges in the monitoring of the SARS-CoV-2 pandemic
statistical estimation	Application of a spatio-temporal SVEIRD model to COVID-19 epidemic in the Czech Republic
Statistical genetics	ATLASQTL and EPISPOT: two joint hierarchical approaches for detecting and interpreting hotspots in molecular QTL studies
Statistical Information	Nguyen’s Information Criteria (NIC)
Statistical modelling	Subject-specific networks as features for predictive modelling - A scoping review of methods
statistical power	A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power Operational characteristics of generalized pairwise comparisons for hierarchically ordered endpoints
statistical significance
Statistical Software	A flipped classroom approach for teaching medical statistics and statistical software training
stepped wedge	Longitudinal cluster randomised trials with continuous recruitment
Stepped Wedge Design	SteppedPower - an R Package for Power Calculation in Stepped Wedge Cluster Randomised Designs
stepped wedge trials	Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored
Stepped-wedge design	Stepped-wedge cluster randomised trials with binary outcomes and small numbers of clusters: a case study
stereotype logistic model
stochastic processes	Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation
stratification	How to deal with collider bias in Mendelian randomization analysis?
stratified	STATISTICAL METHODS TO ANALYSE ORDINAL CATEGORICAL DATA ARISING FROM THE CLINICAL TRIAL OF DRUGS FROM THE PHARMACEUTICAL INDUSTRY
Stratified randomisation	Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods
Stroke	Impact of model choice when studying the relationship between blood pressure variability and risk of stroke
Structural equation model	Does early weight gain mediate the causal effects of severity and duration of depression on the onset of metabolic syndrome?
Structural equation modeling	Multidimensional mediators: Comparison between statistical methods using Data simulation
study design	Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
subfertility	Extending multistate models with g-computation to evaluate the effect of treatment timing
subgroup analysis	A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis
Subgroup Identification	A comparison of dual biomarker threshold identification procedures within a confirmatory clinical trial
subgroup-specific treatment effects	A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis
subgroups	Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm
Subject-specific networks	Subject-specific networks as features for predictive modelling - A scoping review of methods
subjective psychosomatic symptoms	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
Subpopulation selection	A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints
subpopulations	Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard
subsequent primary neoplasms	Subsequent primary neoplasms in bladder cancer patients
Sufficient Follow-Up	RECeUS: Ratio Estimation of Censored Uncured Subjects for Studying Sufficient Follow-Up in Studies of Long-Term Survivors
Summary genetic data	The impact of instruments’ selection on Mendelian randomization results: a case study
Super learner	Machine learning, G-computation and small sample sizes: a simulation study
superiority	Bayes Factors for Equivalence, Non-inferiority, and Superiority Designs Using baymedr
Supervised Machine Learning	Neural networks for survival prediction in medicine: a review and critical appraisal
surgery	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
Surrogacy	Causal assessment of surrogacy for time-to-event endpoints using meta-analytic data
surrogacy validation	Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm
Surrogate endpoint	Interim analysis of a clinical trial using the predictive probability of success based on a surrogate endpoint
surrogate endpoints	Inclusion of real world data in surrogate endpoint evaluation: a Bayesian meta-analytic approach
surrogate marker	Testing for Heterogeneity in the Utility of a Surrogate Marker
surrogate outcomes	Bias in evaluation of discrete surrogate outcomes, due to separation: a penalized likelihood solution
survival	Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study Landmark Prediction of Survival for HIV-infected Patients by Considering AIDS as an Intermediate Event Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival models Pathways to inequalities in child mortality: a population level study in Wales
Survival Analysis	Survival Predictions and Uncertainty Measures with Censored Data Confidence bands of the MRL function in some right censored prevalent cohort studies via the empirical likelihood Joint Modeling of Incomplete Longitudinal Data and Time-to-Event Data A novel score for prognostic index assessment with event-free survival outcome Benefit-based organ allocation in liver transplantation A martingale based approach for modelling the alternating recurrences in Cystic Fibrosis patients Testing for ignorable sampling bias under random double truncation Analysis of competing risks data using restricted mean time lost Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information Neural networks for survival prediction in medicine: a review and critical appraisal Analysis and sample size calculation for a survival model conditional on a binary surrogate endpoint Retro-prospective modelling of recurrent events Marginalized two-part joint modeling of longitudinal semi-continuous responses and survival data: with application to medical expenses Multiple imputation for survival analysis with missing data and a cure fraction: a study of osteosarcoma RECeUS: Ratio Estimation of Censored Uncured Subjects for Studying Sufficient Follow-Up in Studies of Long-Term Survivors Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome Relation between women empowerment and birth interval: A survival analysis approach Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis Joint contribution of positive and total lymph nodes number in predicting overall survival of esophageal cancer Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent Covariates Use of electronic health records to enhance data from a single clinical trial evaluating maintenance therapy in non-small cell lung cancer patients Time to readmission among newborns: time for a reappraisal? Modeling Non-Proportional Hazards for Overall Survival Time for Cancer Treatments
Survival data	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints
Survival data analysis	Comparing risk prediction models in longitudinal context
survival model	Handling recurrent events in the context of clinical trials
Survival models	Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma
Survival outcomes	Estimating treatment effects on survival in an entirely treated cohort: negative controls in longitudinal data
SW-CRT	Sample size calculation for stepped wedge cluster randomized trials with multiple levels of clustering
synergistic and non linear association	Non-linear and non-additive associations between the pregnancy exposome and birthweight
Systematic review	COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 Quantifying the robustness of primary analysis results: a case study on missing outcome data in pairwise and network meta-analysis Meta-analysis methods used in systematic reviews of interrupted time series studies The Need for Expanded Standardized Reporting for Machine Learning Methods in Clinical Prediction
Systematic reviews	An extension to reporting guidelines for systematic reviews of prediction model studies (TRIPOD-SRMA)
T
Tailored Bayesian methods	Tailored Bayesian variable selection for risk prediction modelling under unequal misclassification costs
target trial	Simulating hypothetical interventions on multiple mediators: Extending methods and practical guidance Should multiple imputation be stratified by exposure when estimating causal effects via outcome regression?
target trial emulation	Causal inference in practice: two case studies in nephrology Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data Target Trial Emulation and Missing Eligibility Data: A study of Palivizumab for child respiratory illness
targeted causal inference	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
Targeted Maximum Likelihood Estimation	Handling missing data for causal effect estimation in longitudinal cohort studies using Targeted Maximum Likelihood Estimation: a simulation study
targeted maximum likelihood estimation (TMLE)	TMLE for Causal Effects based on continuous time longitudinal data structures
Teaching Biometry	A flipped classroom approach for teaching medical statistics and statistical software training
telemonitoring data	A Hidden Markov model segmentation to identify trajectories in sleep apnoea patients
temporal data	Kernel density estimation for circular data about COVID-19 in the Czech Republic
Temporal relationships	Joint modelling of the temporal relationships between multivariate longitudinal markers of Alzheimer’s disease progression and clinical endpoints
therapeutic threshold	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making
Three-level data	Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships
threshold analysis	Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses
threshold estimation	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making
time series	Using wristwear device to assess impact of COVID19 lockdown on physical activity Temporal and relational machine learning for biostatistical and other scientific applications A Hidden Markov model segmentation to identify trajectories in sleep apnoea patients
time series analysis	Dynamic structural equation modeling for intensive longitudinal data
Time to event analysis	Harmonization of endpoints in ICU trials using multi-state modelling
Time trend	Reevaluating dementia incidence trends: The critical role of adequate design and methodology
Time-dependant confounding	Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine trial
Time-dependent confounding	TMLE for Causal Effects based on continuous time longitudinal data structures Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
time-dependent covariate	Frailty Multi-state Model with Time-dependent Covariate for Prediction of Colorectal Cancer Progression
time-dependent remission	New Application of competing risks model in IgA nephropathy to explore the severity-dependent urinary remission
Time-lag bias	Incident and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a systematic review
Time-series	Evaluating the effectiveness of local tracing partnerships on NHS test and trace for Covid19
Time-to-cure	A non-mixture cure model with frailty correction for inaccurate background mortality to estimate time-to-cure.
time-to-event	Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis A methodological review of phase I designs with late-onset toxicities and incomplete follow-up Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data
Time-to-event analysis	Individual risk prediction: comparing Random Forests with Cox proportional-hazards model by a simulation study
time-to-event data
time-to-event outcome	Mediation with a survival outcome and time-varying mediator: empirical comparison and use in observational data Challenges and opportunities for learning from long term disease registers: - Causal inference
Time-to-event outcomes	Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards
Time-varying confounding
time-varying effect
Time-varying exposures	Identification of causal effects in case-control studies
Time-varying treatment	Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
Tipping Point	Assessment of Clinical Trial Missing Data During a Pandemic: A Tipping Point Analysis Case Study
tolerance	Confidence, Prediction, Tolerance Intervals in Linear Mixed Models: Applications in (Non)-Clinical Trials
topological data analysis	MultiNet: a computational algorithm to analyze high-dimensional epigenetic correlation structures
total knee replacement surgery	Functional analysis of temporal data about patient’s health condition after total knee replacement Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent Covariates
Toxicity	Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma
Toxicology	Model selection characteristics when using MCP-Mod for dose-response gene expression data
Trajectories	Worldwide age specific Human Papillomavirus prevalence patterns: a mixed effects binomial method to cluster trajectories
trajectory	Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
transition	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Transition probabilities	Parametric Landmark estimation of the transition probabilities in survival data with multiple events
transportability	A framework for meta-analysis of studies with baseline exposure through standardized survival curves Causal inference for combining RCTs and observational studies: methods comparison and medical application
Trauma	Pain Management in Immediate Life Support Ambulances
Traumatic brain injury	Causal inference for combining RCTs and observational studies: methods comparison and medical application
treatment effect	Benefit-based organ allocation in liver transplantation A Bayesian model for heterogeneous treatment effects on the additive risk scale in meta-analysis Testing for Heterogeneity in the Utility of a Surrogate Marker
treatment effect heterogeneity	Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored
Treatment effects	Estimating treatment effects on survival in an entirely treated cohort: negative controls in longitudinal data
Treatment rankings	Analysis methods for personalized randomized controlled trial (PRACTical)
treatment selection marker	Estimating the treatment selection ability of a marker: review, comparison, and improvement of existing approaches
treatment selection score	Biologically-informed development of treatment selection scores from high-dimensional omics data
treatment timing	Extending multistate models with g-computation to evaluate the effect of treatment timing
treatment-covariate interactions	Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis
tree-based models	Parametric and non-parametric variable selection methods for predictive modeling with binary response
tree-lasso	Feature selection in multivariate varying-coefficient mixed models for drug response prediction
trial	A Bayesian model for heterogeneous treatment effects on the additive risk scale in meta-analysis Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
trial data	Use of electronic health records to enhance data from a single clinical trial evaluating maintenance therapy in non-small cell lung cancer patients
Trimmed means	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
tubeless anaesthesia	Video-Assisted Non-Intubated Lobectomies for Lung Cancer: A Systematic Review and Meta-Analysis
Tuberculosis	Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard
Tuberous sclerosis complex
tumor growth	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth
Tuning	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
type I error	Comparison of frequentist and Bayesian methods for two-arm borrowing of historical data
Type M error
Type S error
type-I error probability	Operational characteristics of generalized pairwise comparisons for hierarchically ordered endpoints
type-one error	Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome
U
Umbrella trial	Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods
Uncertainty Interval	Valid Uncertainty Interval for the Average Causal Effect in a High-dimensional Settingv
Uncertainty Measure	Survival Predictions and Uncertainty Measures with Censored Data
Underreporting	Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data
universal differential equations	Pharmacometrics-Informed Deep Learning with DeepNLME
unmeasured confounding	A framework for meta-analysis of studies with baseline exposure through standardized survival curves
unsupervised learning	Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study
Up-to-date survival predictions	Accounting for improvements in survival when developing risk prediction models in a competing risks setting
Updating	A comprehensive comparison of approaches for the calibration of probability machines
V
Vaccine	Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine trial Simulations to assess the impact of non-adherance due to COVID-19 in a cluster-randomized non-inferiority trial
Vaccines	Trials of Vaccine Efficacy for COVID-19: Inferential and Practical Issues
validation	Decision curve analysis for treatment benefit in a network meta-analysis framework COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 Assessment of performance measures for external validation of multivariable prediction models: Simulations
valvular heart disease	The risk of valvular heart disease after childhood cancer: contribution of dose-volume histogram parameters
Variable selection	Parametric and non-parametric variable selection methods for predictive modeling with binary response ATLASQTL and EPISPOT: two joint hierarchical approaches for detecting and interpreting hotspots in molecular QTL studies Selective inference for the Lasso in statistical practice Variational Bayes for Model Averaging for Multivariate models using Compositional Microbiome predictors
variance	Statistical methods for estimating sources of variability in count-based biomarkers
Variance estimator	Variance estimators for weighted and stratified linear dose-response function estimators using generalized propensity score
variance modelling	What is the real prevalence of hypertension in France ? THE JOY OF PSEUDO-VALUES HANDLING NEGATIVE CORRELATION AND/OR OVER/UNDERDISPERSON IN GAUSSIAN AND NON-GAUSSIAN HIERARCHICAL DATA Semi-variogram approach to estimate within-subject variability in repeated measurements
variance models	A general framework and implementation for variance modelling in joint model settings
Variational methods	Variational Bayes for Model Averaging for Multivariate models using Compositional Microbiome predictors
varying coefficient	Feature selection in multivariate varying-coefficient mixed models for drug response prediction
very high CV risk	Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
Virtual biopsy	Virtual biopsy in action: a radiomic-based model for CALI prediction
W
WAIC
wearable devices	Handling missing data from wearable devices in clinical trials Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation
web tool	MSMplus: A dynamic interactive web tool for presentation of multi-state model analysis results
web-app	Virtual biopsy in action: a radiomic-based model for CALI prediction
Weighted analysis	Retro-prospective modelling of recurrent events
Weighted log-rank test	Weighted hazard ratio for time to event endpoints under non proportional hazards
weighted log-rank tests	Methods for analyzing time-to-event endpoints in immuno-oncological trials with delayed treatment effects
Well-defined research question	Tying research question and analytical strategy when variables are affected by medication use
Whole genome sequencing	COMET: an R package to identify sample cross-contamination in whole genome sequencing studies
wilcoxon van elteren test	STATISTICAL METHODS TO ANALYSE ORDINAL CATEGORICAL DATA ARISING FROM THE CLINICAL TRIAL OF DRUGS FROM THE PHARMACEUTICAL INDUSTRY
Wild bootstrap	Statistical inference for transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
within-person trial	Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per patient
WOMAC score	Functional analysis of temporal data about patient’s health condition after total knee replacement
Women empowerment	Relation between women empowerment and birth interval: A survival analysis approach
Word-embedding	CamemBERT word-embedding for Information Extraction in a Biomedical Context
X
Xenoestrogens	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
Y
Youden index	Comparison of methods for the linear combination of biomarkers under Youden Index optimisation criterion
Z
Zero-inflated	Marginalized two-part joint modeling of longitudinal semi-continuous responses and survival data: with application to medical expenses
zero-inflation