THE JOY OF PSEUDO-VALUES (abstract)

An early-phase clinical trial design in oncology with generalization ability (abstract)

A flipped classroom approach for teaching medical statistics and statistical software training (abstract)

A comparison of dual biomarker threshold identification procedures within a confirmatory clinical trial (abstract)

Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial (abstract)

Challenges in Factorial Design Randomized Control Trials (abstract)

Non-inferiority trials with indirect evidence of assay sensitivity using network meta-analysis (abstract)

Biomarker-based Bayesian randomized clinical trial for population finding with efficient reduction of sample size (abstract)

A methodological review of phase I designs with late-onset toxicities and incomplete follow-up (abstract)

Patient-specific dose finding in seamless phase I/II clinical trials (abstract)

The true power of clinical trials in pediatric cancers and other rare diseases (abstract)

Outcomes reported in randomized clinical trials of depression in geriatric patients: a methodological review (abstract)

One small clinical trial design to provide additional evidence of treatment effects than single-arm trials. (abstract)

SteppedPower - an R Package for Power Calculation in Stepped Wedge Cluster Randomised Designs (abstract)

Investigating the operating characteristics of clinical trials with borrowing from external data (abstract)

Introducing GINGER - a General simulation-INterpolation tool for designing multiGroup ExpeRiments (abstract)

Substitution of study control group by historic controls: Effect on study results using the example pain therapy for endometriosis (abstract)

Design optimization and intermediate safety reporting for a randomized controlled biomarker trial (abstract)

Using routinely collected data to conduct a pragmatic randomized controlled trial: an example addressing antibiotic prescription and resistance monitoring in Swiss primary care (abstract)

Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making (abstract)

Flexible software framework to compare Bayesian hierarchical models across basket trial designs (abstract)

Assessment of Clinical Trial Missing Data During a Pandemic: A Tipping Point Analysis Case Study (abstract)

A comparison of multiple imputation strategies for handling missing data in repeatedly measured multi-item scales (abstract)

A Hidden Markov model segmentation to identify trajectories in sleep apnoea patients (abstract)

A comparison of statistical methods to compensate for missing data in longitudinal cluster-randomised trials (abstract)

Effect of impaired vision on physical activity from childhood to adolescence (abstract)

Predictors of Multidrug Resistance in Nosocomial Pneumonia among Intensive Care Units’ Patients of a Tertiary Hospital, Egypt (abstract)

Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review (abstract)

Impact of model misspecification on model-based bioequivalence (abstract)

Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme (abstract)

Assessing the role of hyperventilation in patients with traumatic brain injury: longitudinal data analysis from the CENTER-TBI (abstract)

A new approach to measure frailty in the context of COVID-19 population (abstract)

Pain Management in Immediate Life Support Ambulances (abstract)

Statistical methods for estimating sources of variability in count-based biomarkers (abstract)

Longitudinal progression of frailty in older population and risk of adverse events: An application of joint models (abstract)

Semi-variogram approach to estimate within-subject variability in repeated measurements (abstract)

Non-linear dynamic indices summarize densely sampled longitudinal data (abstract)

Kernel density estimation for circular data about COVID-19 in the Czech Republic (abstract)

Functional analysis of temporal data about patient’s health condition after total knee replacement (abstract)

Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis (abstract)

Possibilities and challenges when analysing large longitudinal data from a population based Norwegian registry (MoBa study). (abstract)

Estimating time to confirmed disease progression in observational data sources with irregular visit schedules (abstract)

Nowcasting the spread of COVID-19 to inform control policies in Hong Kong (abstract)

Statistical challenges in the monitoring of the SARS-CoV-2 pandemic (abstract)

Modelling the COVID-19 pandemic: initial introduction, lockdown assessment, phasing out (abstract)

How to deal with collider bias in Mendelian randomization analysis? (abstract)

The impact of instruments’ selection on Mendelian randomization results: a case study (abstract)

Caution When Inferring the Effect Direction in Mendelian Randomization (abstract)

Tying research question and analytical strategy when variables are affected by medication use (abstract)

Identification of causal effects in case-control studies (abstract)

Modular components in basket trials and connections among the applied tools (abstract)

Seamless Master Protocol with account for correlations within subgroups (abstract)

Monotonicity Rules for Inference in Basket Trials (abstract)

Response-adaptive randomization in clinical trials: from myths to practical considerations (abstract)

Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods (abstract)

Loop-splitting in network meta-analysis: a new approach to evaluating loop inconsistency (abstract)

Decision curve analysis for treatment benefit in a network meta-analysis framework (abstract)

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 (abstract)

Network meta-analysis and random walks (abstract)

Bayesian network meta-analysis methods for combining IPD and aggregate data from single-arm studies and RCTs (abstract)

ATLASQTL and EPISPOT: two joint hierarchical approaches for detecting and interpreting hotspots in molecular QTL studies (abstract)

Explained Variation in the Linear Mixed Model (abstract)

Reconstructing KIR haplotypes taking ambiguous and missing data into account (abstract)

COMET: an R package to identify sample cross-contamination in whole genome sequencing studies (abstract)

Evaluating DNA sequencing performance: concordance-discordance model and latent class model (abstract)

Confidence intervals for the treatment effect in the Magnusson-Turnbull adaptive enrichment design (abstract)

Graphical approaches for the control of generalized error rates (abstract)

Evaluation of the Fill-it-up design to combine data from observational trials and RCTs (abstract)

Improved group sequential Holm procedures for testing multiple correlated hypotheses over time (abstract)

Randomization tests to address disruptions in clinical trials (abstract)

Testing for ignorable sampling bias under random double truncation (abstract)

A martingale based approach for modelling the alternating recurrences in Cystic Fibrosis patients (abstract)

Impact of measurement error in time-varying prescription-based drug exposures in time-to-event analysis (abstract)

Developing a Goodness of fit test for a joint model: The case of clustered survival and count data (abstract)

Confidence bands of the MRL function in some right censored prevalent cohort studies via the empirical likelihood (abstract)

Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers (abstract)

Confidence, Prediction, Tolerance Intervals in Linear Mixed Models: Applications in (Non)-Clinical Trials (abstract)

Bayesian multivariate longitudinal data analysis assuming different association structures (abstract)

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 (abstract)

Mixed Modeling of Regional Infant Mortality Data over Twenty Years in North Rhine-Westphalia. (abstract)

STATISTICAL METHODS TO ANALYSE ORDINAL CATEGORICAL DATA ARISING FROM THE CLINICAL TRIAL OF DRUGS FROM THE PHARMACEUTICAL INDUSTRY (abstract)

Causal inference with skewed outcome data: Moving beyond the “ignore or transform” approach (abstract)

Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment. (abstract)

Multidimensional mediators: Comparison between statistical methods using Data simulation (abstract)

The role of the matching algorithm in an analysis of the effect of hemoadsorption in patients with sepsis (abstract)

Estimating the causal effect of direct-acting antiviral agents on kidney function in a clinical cohort of chronic Hepatitis C patients (abstract)

Should multiple imputation be stratified by exposure when estimating causal effects via outcome regression? (abstract)

Pathways to inequalities in child mortality: a population level study in Wales (abstract)

Target Trial Emulation and Missing Eligibility Data: A study of Palivizumab for child respiratory illness (abstract)

Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey (abstract)

Does early weight gain mediate the causal effects of severity and duration of depression on the onset of metabolic syndrome? (abstract)

Pathway specific population attributable fractions. (abstract)

Personalized Schedules for Invasive Diagnostic Tests: With Applications in Surveillance of Chronic Diseases (abstract)

Comparing risk prediction models in longitudinal context (abstract)

Testing for Heterogeneity in the Utility of a Surrogate Marker (abstract)

Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown (abstract)

Separable Causal Effects as alternative Estimands in Epidemiology and Biostatistics (abstract)

Simulating hypothetical interventions on multiple mediators: Extending methods and practical guidance (abstract)

Mediation with a survival outcome and time-varying mediator: empirical comparison and use in observational data (abstract)

Mediation with Irregular Longitudinal Biomarkers: An Application to Examining Obesity and Severe Disease in COVID-19 Patients (abstract)

Early completion of phase I cancer clinical trials with Bayesian optimal interval design (abstract)

Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials (abstract)

A Bayesian decision-theoretic approach to outcome-adaptive sequential multiple assignment randomised trials (SMARTs) with distinct intermediate binary endpoints (abstract)

Modelling time varying recruitment rates and site activation prediction in multicentre clinical trials: A comparison study. (abstract)

Compromise Bayesian test decisions under type I error rate constraint (abstract)

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. (abstract)

Nowcasting CoVID-19 Deaths in England by Age and Region (abstract)

An evaluation of the stability, precision and performance of phenomenological models applied to COVID-19 cases and deaths in South Africa (abstract)

Estimation of incubation time and latency time distribution of SARS-CoV-2: the impact of distributional assumptions (abstract)

Regional estimates of reproduction numbers with application to COVID-19 (abstract)

Quantifying the robustness of primary analysis results: a case study on missing outcome data in pairwise and network meta-analysis (abstract)

Meta-analysis of randomised trials with continuous outcomes: methods that adjust for baseline should be used (abstract)

Flexible generic framework for evidence synthesis in health technology assessment (abstract)

Component Network Meta-Analysis Including Individual Participant Data and Summary Aggregate Data (abstract)

Bayesian multivariate network meta-analysis model for the difference in restricted mean survival times (abstract)

Phases of methodological research in biostatistics – a proposal to increase transparency and reproducibility (abstract)

The p-value conundrum: how can a Bayesian analysis help? A case study in reproductive and maternal-fetal medicine (abstract)

On the marginality principle, with a focus on ratios and interactions (abstract)

An extension to reporting guidelines for systematic reviews of prediction model studies (TRIPOD-SRMA) (abstract)

Reference based multiple imputation for trials – what’s the right variance and how to estimate it? (abstract)

Immortal time bias for life-long conditions in retrospective observational studies using electronic heath records (abstract)

Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults (abstract)

Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation (abstract)

Handling missing data from wearable devices in clinical trials (abstract)

Using wristwear device to assess impact of COVID19 lockdown on physical activity (abstract)

Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features (abstract)

Investigating Down syndrome by integrating methylation and glycomics using supervised PO2PLS (abstract)

Model selection characteristics when using MCP-Mod for dose-response gene expression data (abstract)

Information sharing across genes for improved parameter estimation in dose-response curves (abstract)

A Bayesian approach to estimating dynamic models of co-regulated gene expression (abstract)

A methodological approach to assess data quality from the Clinical Practice Research Datalink (abstract)

Modeling Child Mortality in the presence of Clustering (abstract)

Nguyen’s Information Criteria (NIC) (abstract)

Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms (abstract)

Exploring risk stratification in cardiomyopathies using a deep learning approach for survival prediction (abstract)

Can animal studies on rodents help better understand Alzheimer’s disease in humans? (abstract)

Non-linear and non-additive associations between the pregnancy exposome and birthweight (abstract)

Machine learning to support Reinke’s edema diagnosis from voice recordings (abstract)

The Need for Expanded Standardized Reporting for Machine Learning Methods in Clinical Prediction (abstract)

Virtual biopsy in action: a radiomic-based model for CALI prediction (abstract)

Creation of adverse drug reactions assessment tool (abstract)

Use of machine learning models combined with innovative interpretation methods to identify prognostic factors (abstract)

Faster and more agile designs: speeding up the stepped wedge with batched designs (abstract)

Longitudinal cluster randomised trials with continuous recruitment (abstract)

Optimal design of cluster randomized trials with baseline data comparing routine care to a new intervention (abstract)

Multiple imputation in propensity score matching: obtaining correct confidence intervals (abstract)

Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data (abstract)

Variance estimators for weighted and stratified linear dose-response function estimators using generalized propensity score (abstract)

Confounder selection strategies targeting stable treatment effect estimators (abstract)

Causal inference for combining RCTs and observational studies: methods comparison and medical application (abstract)

Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA Study (abstract)

Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data (abstract)

Evaluating the effectiveness of local tracing partnerships on NHS test and trace for Covid19 (abstract)

Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine trial (abstract)

Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study (abstract)

Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach (abstract)

Comparison of multiple dynamic predictive accuracies (abstract)

Spatio-temporal score driven modeling of resting state fMRI data (abstract)

Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth (abstract)

Accounting for improvements in survival when developing risk prediction models in a competing risks setting (abstract)

COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 (abstract)

A Bayesian model for heterogeneous treatment effects on the additive risk scale in meta-analysis (abstract)

Assessing risk of bias in individual participant data meta-analyses for prediction model research (abstract)

Using meta-analysis for external validation of prediction models in big data, accounting for competing risks (abstract)

MSMplus: A dynamic interactive web tool for presentation of multi-state model analysis results (abstract)

Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study (abstract)

Reevaluating dementia incidence trends: The critical role of adequate design and methodology (abstract)

Statistical inference for transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring (abstract)

Harmonization of endpoints in ICU trials using multi-state modelling (abstract)

Neural networks for survival prediction in medicine: a review and critical appraisal (abstract)

Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration. (abstract)

Survival Predictions and Uncertainty Measures with Censored Data (abstract)

Parametric and non-parametric variable selection methods for predictive modeling with binary response (abstract)

Performance measures for assessing machine learning algorithms in clinical trials (abstract)

Using Historical Data to Predict Health Outcomes – The Prediction Design (abstract)

Bayes Factors for Equivalence, Non-inferiority, and Superiority Designs Using baymedr (abstract)

FORECAST ALZHEIMER'S DISEASE PROGRESSION TO BETTER SELECT PATIENTS FOR CLINICAL TRIALS (abstract)

Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per patient (abstract)

Challenges of using big health data to identify patterns of anxiety and depression in multimorbid population (abstract)

The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin (abstract)

Lower Limit of Quantification in various distributed data: examining confidence interval variations (abstract)

Diversity indices and statistical methods used in studies addressing dysbiosis applied to composition data of the gut microbiota (abstract)

Subsequent primary neoplasms in bladder cancer patients (abstract)

On heuristic detection of maternal-age-related increase of birth defect risk: Experience, issues, alternatives (abstract)

Linkage of national clinical datasets without patient identifiers using probabilistic methods (abstract)

Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort (abstract)

Use of innovative methods to estimate a reliable French pathological complete response rate on real world data (abstract)

Sensitivity analyses for measurement error using regression calibration or simulation-extrapolation (abstract)

Data linkage for creating electronic birth cohorts: handling bias due to linkage error (abstract)

Challenges and opportunities for learning from long term disease registers: - Causal inference (abstract)

Methods for combining experimental and population data to estimate population average treatment effects (abstract)

Pharmacometrics-Informed Deep Learning with DeepNLME (abstract)

Temporal and relational machine learning for biostatistical and other scientific applications (abstract)

Individualizing deep dynamic models for psychological resilience data (abstract)

Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator (abstract)

Comparison of two causal inference methods for multiple treatments in clinical research on observational data (abstract)

Handling missing data for causal effect estimation in longitudinal cohort studies using Targeted Maximum Likelihood Estimation: a simulation study (abstract)

Estimands in clinical trials: making the hypothetical strategy concrete (abstract)

Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm (abstract)

Sample size calculation for stepped wedge cluster randomized trials with multiple levels of clustering (abstract)

Stepped-wedge cluster randomised trials with binary outcomes and small numbers of clusters: a case study (abstract)

Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored (abstract)

Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome (abstract)

Under what conditions do open-cohort cluster RCTs provide improvements over conventional designs? A simulation study. (abstract)

Comparison of frequentist and Bayesian methods for two-arm borrowing of historical data (abstract)

Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis (abstract)

Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis (abstract)

A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis (abstract)

Inclusion of real world data in surrogate endpoint evaluation: a Bayesian meta-analytic approach (abstract)

Tailored Bayesian variable selection for risk prediction modelling under unequal misclassification costs (abstract)

Feature selection in multivariate varying-coefficient mixed models for drug response prediction (abstract)

Variational Bayes for Model Averaging for Multivariate models using Compositional Microbiome predictors (abstract)

Fast marginal likelihood estimation of penalties for group-adaptive elastic net (abstract)

Improving model performance estimation in high-dimensional data settings by using learning curves (abstract)

Bayesian inference for the direct approach for competing risk modeling with Gompertz distribution (abstract)

Analysis of competing risks data using restricted mean time lost (abstract)

Impact of competing event in COVID-19 clinical data analysis (abstract)

Parametric Landmark estimation of the transition probabilities in survival data with multiple events (abstract)

Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression (abstract)

Modeling Non-Proportional Hazards for Overall Survival Time for Cancer Treatments (abstract)

Sensitivity of results to missing data for clinical trials with discrete, longitudinal outcome measurements (abstract)

New Application of competing risks model in IgA nephropathy to explore the severity-dependent urinary remission (abstract)

Frailty Multi-state Model with Time-dependent Covariate for Prediction of Colorectal Cancer Progression (abstract)

Time to readmission among newborns: time for a reappraisal? (abstract)

Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival models (abstract)

Use of electronic health records to enhance data from a single clinical trial evaluating maintenance therapy in non-small cell lung cancer patients (abstract)

Modelling the length of stay of COVID-19 patients using a multistate approach (abstract)

Landmarking: An R package for analysis using landmark models (abstract)

The risk of valvular heart disease after childhood cancer: contribution of dose-volume histogram parameters (abstract)

The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables (abstract)

Multiple Cox regression analysis to investigate a biomarker in IgA nephropathy disease: different approaches (abstract)

Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent Covariates (abstract)

Joint contribution of positive and total lymph nodes number in predicting overall survival of esophageal cancer (abstract)

Modelling the duration of recurrent events from interval-censored data (abstract)

Relation between women empowerment and birth interval: A survival analysis approach (abstract)

Impact of model choice when studying the relationship between blood pressure variability and risk of stroke (abstract)

A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power (abstract)

TMLE for Causal Effects based on continuous time longitudinal data structures (abstract)

Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity (abstract)

Missing data imputation for non-stationary time series in mHealth data (abstract)

Bayesian joint modeling of a bivariate toxicity for dose-regimens in early phase oncology (abstract)

Interim analysis of a clinical trial using the predictive probability of success based on a surrogate endpoint (abstract)

Trials of Vaccine Efficacy for COVID-19: Inferential and Practical Issues (abstract)

Incorporating multiple parameters from historical controls using the meta-analytic-predictive (MAP) prior (abstract)

Bayesian hierarchical modeling for MedDRA coded adverse events in RCTs (abstract)

Individual risk prediction: comparing Random Forests with Cox proportional-hazards model by a simulation study (abstract)

Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning (abstract)

Predicting individual life years lost due to cancer using pseudo-observations with random forest, in the absence of cause of death information (abstract)

A comprehensive comparison of approaches for the calibration of probability machines (abstract)

Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved (abstract)

The Natural History of Invasive Breast Cancers Detected in the Scandinavian Mammography Screening Programs: A Cohort Study (abstract)

Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard (abstract)

Comparison of methods for the linear combination of biomarkers under Youden Index optimisation criterion (abstract)

Single and multiple imputation combined with missing indicators in clinical prediction models: a simulation study (abstract)

Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard (abstract)

Bayesian multilevel nonlinear joint model to characterize the variability in the response to immunotherapy (abstract)

Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of failure (abstract)

Bayesian Predictive Model Averaging for Joint Model of Survival and Longitudinal Data: Application to an Immunotherapy Trial (abstract)

A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data (abstract)

Joint Modeling of Incomplete Longitudinal Data and Time-to-Event Data (abstract)

RECeUS: Ratio Estimation of Censored Uncured Subjects for Studying Sufficient Follow-Up in Studies of Long-Term Survivors (abstract)

Multiple imputation for survival analysis with missing data and a cure fraction: a study of osteosarcoma (abstract)

A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality. (abstract)

An extension of Fellegi-Sunter record linkage model for mixed-type data with application to SNDS (abstract)

Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships (abstract)

Separation in Marginal Logistic Regression Models (abstract)

A geometric Brownian motion model with non-normal random effect for the prediction of the growth of abdominal aortic aneurysms (abstract)

Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets (abstract)

Multiple imputation for missing data in case-cohort studies: simulation and case study (abstract)

Application of three level multiple imputation to national surveys (abstract)

Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study (abstract)

Prediction of cancer incidence in areas without registries using proxy and registry data (abstract)

What is the real prevalence of hypertension in France ? (abstract)

Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor Analysis (abstract)

Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions (abstract)

Similarities between the COVID-19 spread in Romanian counties identified through data clustering (abstract)

A new epidemic model for the Covid-19 pandemic (abstract)

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 (abstract)

Indices of inequality to monitor temporal and geographic trends in COVID-19 incidence and death data (abstract)

Bayesian disease mapping of standardized infection fatality rate using the example of COVID-19 in Bavaria (abstract)

Mathematical Modelling of COVID-19 Epidemics in Tokyo Metropolitan and New York City (abstract)

Application of a spatio-temporal SVEIRD model to COVID-19 epidemic in the Czech Republic (abstract)

Impact of STI screening intensity on antibiotic exposure: A modelling study among men who have sex with men in Belgium (abstract)

Epilocal: A real-time tool for local epidemic monitoring (abstract)

Valid post-selection inference for cox regression parameters, with and without the proportional hazards assumption. (abstract)

Selective inference for the Lasso in statistical practice (abstract)

Biologically-informed development of treatment selection scores from high-dimensional omics data (abstract)

Incident and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a systematic review (abstract)

A framework for meta-analysis of studies with baseline exposure through standardized survival curves (abstract)

Causal inference in practice: two case studies in nephrology (abstract)

Machine learning, G-computation and small sample sizes: a simulation study (abstract)

Valid Uncertainty Interval for the Average Causal Effect in a High-dimensional Settingv (abstract)

Adaptive designs for three-arm gold-standard non-inferiority trials (abstract)

A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints (abstract)

A stochastically curtailed two-arm randomised phase II trial design for binary outcomes (abstract)

Fast-tracking clinical trial innovations – a COVID-19 silver lining (abstract)

Adaptive clinical trials with selection of composite endpoints and sample size reassessment (abstract)

Marginalized two-part joint modeling of longitudinal semi-continuous responses and survival data: with application to medical expenses (abstract)

Healthy life expectancy computation using the Item Response Theory combined with a joint modeling approach (abstract)

Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma (abstract)

Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials (abstract)

Joint modelling of the temporal relationships between multivariate longitudinal markers of Alzheimer’s disease progression and clinical endpoints (abstract)

Methods for analyzing time-to-event endpoints in immuno-oncological trials with delayed treatment effects (abstract)

Non-proportional hazards in immuno-oncology: Is an old perspective needed? (abstract)

Weighted hazard ratio for time to event endpoints under non proportional hazards (abstract)

Comparison of statistical methods for estimating time-varying treatment effect on adverse event risk (abstract)

Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards (abstract)

Additional benefit method assessment for time-to-event endpoints – A comparison of ESMOs and IQWiGs approach (abstract)

Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information (abstract)

A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality (abstract)

Robust statistical inference for the matched net benefit and win ratio. (abstract)

A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology (abstract)

Cluster analysis on emergency COVID-19 data: A result-based multiple imputation for missing data (abstract)

Statistical Power for Single Cell Representations (abstract)

Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches (abstract)

CamemBERT word-embedding for Information Extraction in a Biomedical Context (abstract)

Interpretable effect estimates of semi-structured predictors in deep distributional regression models (abstract)

A Bayesian nonparametric approach for modeling SF-6D health state utility scores (abstract)

Small-sample accuracy of approximations of individual polynomial growth curves’ prediction error in linear mixed regression (abstract)

Assessment of performance measures for external validation of multivariable prediction models: Simulations (abstract)

Mathematical proof of the equivalence between Post-test Predictive Probabilities and Predictive Values (abstract)

Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data (abstract)

Subject-specific networks as features for predictive modelling - A scoping review of methods (abstract)

Individual dynamic predictions in joint analysis of non-linear longitudinal model and parametric competing risk model: application to sepsis patients (abstract)

Estimating the treatment selection ability of a marker: review, comparison, and improvement of existing approaches (abstract)

Double cut-point identification of continuous diagnostic test variables for clinical use (abstract)

Patient heterogeneity assessments via network-based ANOVA (abstract)

A comparison of prioritisation tools for CVD risk assessment in UK Biobank: Primary care records versus polygenic risk scores (abstract)

Operational characteristics of generalized pairwise comparisons for hierarchically ordered endpoints (abstract)

Landmark Prediction of Survival for HIV-infected Patients by Considering AIDS as an Intermediate Event (abstract)

A general framework and implementation for variance modelling in joint model settings (abstract)

Dynamic structural equation modeling for intensive longitudinal data (abstract)

Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome (abstract)

Marginal structural Cox models in nested case-control studies with time-varying treatments (abstract)

Benefit-based organ allocation in liver transplantation (abstract)

Extending multistate models with g-computation to evaluate the effect of treatment timing (abstract)

Causal assessment of surrogacy for time-to-event endpoints using meta-analytic data (abstract)

Estimating treatment effects on survival in an entirely treated cohort: negative controls in longitudinal data (abstract)

Analysis and sample size calculation for a survival model conditional on a binary surrogate endpoint (abstract)

Dangers of wrongly assuming linearity in a trial sample size calculation when treatment affects rate of change (abstract)

Estimating sample size for biomarker-strategy designs with survival endpoints (abstract)

Multidimensional Go/No-Go decision rules (abstract)

Online control of the False Discovery Rate in platform trials (abstract)

A non-mixture cure model with frailty correction for inaccurate background mortality to estimate time-to-cure. (abstract)

A family of discrete random effect distributions for modelling bivariate time-to-event data (abstract)

A general approach to fit flexible hazard regression models with multiple random effects (abstract)

Handling recurrent events in the context of clinical trials (abstract)

Retro-prospective modelling of recurrent events (abstract)

Trajectory clustering using mixed classification models (abstract)

Bayesian concurrent functional regression for sensor data (abstract)

ERNEST: A Representation Learning-based Cross-Subject EEG Channel Selection Algorithm (abstract)

Linear statistical models and ridge regression used in shape index calculation on human face (abstract)

Unsupervised classification of ECG signals via FDA to look for different patterns of variation among patients (abstract)

To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets (abstract)

Propensity-based standardization to enhance the interpretation of prediction model discrimination (abstract)

A novel score for prognostic index assessment with event-free survival outcome (abstract)

Minimum sample size for external validation of a clinical prediction model with a binary or time-to-event outcome (abstract)

Conditional and unconditional logistic regression analysis of matched case-control studies of recurrent events (abstract)

On the implications of influential points for the selection and reproducibility of MFP models (abstract)

Worldwide age specific Human Papillomavirus prevalence patterns: a mixed effects binomial method to cluster trajectories (abstract)

Treating ordinal outcomes as continuous quantities: when, why and how. (abstract)

Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia (abstract)

Bayesian extrapolation from pre-clinical data to human (abstract)

Analysing ordinal endpoints in two-arm randomized clinical trials (abstract)

Simulations to assess the impact of non-adherance due to COVID-19 in a cluster-randomized non-inferiority trial (abstract)

Analysis methods for personalized randomized controlled trial (PRACTical) (abstract)

MultiNet: a computational algorithm to analyze high-dimensional epigenetic correlation structures (abstract)

HANDLING NEGATIVE CORRELATION AND/OR OVER/UNDERDISPERSON IN GAUSSIAN AND NON-GAUSSIAN HIERARCHICAL DATA (abstract)

Video-Assisted Non-Intubated Lobectomies for Lung Cancer: A Systematic Review and Meta-Analysis (abstract)

Bias in evaluation of discrete surrogate outcomes, due to separation: a penalized likelihood solution (abstract)

Developing a Novel Interactive Multifaceted Graphic for Treatment Ranking within Network Meta-Analysis (abstract)

Propensity Score-Integrated Meta-Analytic-Predictive Priors (abstract)

Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses (abstract)

Meta-analysis methods used in systematic reviews of interrupted time series studies (abstract)

Effects of probiotics on mortality and morbidity in preterm infants: a Bayesian network meta-analysis of randomized and non-randomized studies (abstract)