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

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Abbasizanjani, Hoda	Pathways to inequalities in child mortality: a population level study in Wales
Abrahamowicz, Michal	Impact of measurement error in time-varying prescription-based drug exposures in time-to-event analysis
Abrams, Keith	Bayesian network meta-analysis methods for combining IPD and aggregate data from single-arm studies and RCTs Use of electronic health records to enhance data from a single clinical trial evaluating maintenance therapy in non-small cell lung cancer patients Component Network Meta-Analysis Including Individual Participant Data and Summary Aggregate Data
Adachi, Misa	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
Adikari, Nayani	Developing a Goodness of fit test for a joint model: The case of clustered survival and count data
Afonso, Pedro M.	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
Aghlmandi, Soheila	Using routinely collected data to conduct a pragmatic randomized controlled trial: an example addressing antibiotic prescription and resistance monitoring in Swiss primary care
Aittokallio, Tero	Feature selection in multivariate varying-coefficient mixed models for drug response prediction
Akbari, Ashley	Pathways to inequalities in child mortality: a population level study in Wales
Akter, Noor Jahan	Mixed Modeling of Regional Infant Mortality Data over Twenty Years in North Rhine-Westphalia.
Alafchi, Behnaz	Landmark Prediction of Survival for HIV-infected Patients by Considering AIDS as an Intermediate Event
Alam, M. Iftakhar	Patient-specific dose finding in seamless phase I/II clinical trials
Albert, Isabelle	Prediction of cancer incidence in areas without registries using proxy and registry data
Alioum, Ahmadou	Healthy life expectancy computation using the Item Response Theory combined with a joint modeling approach Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers
Allgöwer, Andreas	A flipped classroom approach for teaching medical statistics and statistical software training
Allignol, Arthur	Statistical inference for transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
Althouse, Andrew	On the marginality principle, with a focus on ratios and interactions
Amadou, Amina	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
Andaur Navarro, Constanza	Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved
Andenæs, Randi	Possibilities and challenges when analysing large longitudinal data from a population based Norwegian registry (MoBa study).
Andersen, Per Kragh	THE JOY OF PSEUDO-VALUES
Andersson, John	Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis
Andersson, Therese	MSMplus: A dynamic interactive web tool for presentation of multi-state model analysis results
Andrillon, Anais	Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression
Andrinopoulou, Elrozy	Bayesian multivariate longitudinal data analysis assuming different association structures A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
Ang'Iro, Beryl	Modeling Child Mortality in the presence of Clustering
Ante, Zharmaine	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
Antohe, Magda Ecaterina	Similarities between the COVID-19 spread in Romanian counties identified through data clustering
Antolini, Laura	Double cut-point identification of continuous diagnostic test variables for clinical use
Apajee, Jemishabye	A comparison of multiple imputation strategies for handling missing data in repeatedly measured multi-item scales
Archer, Lucinda	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
Arntzen, Vera	Estimation of incubation time and latency time distribution of SARS-CoV-2: the impact of distributional assumptions
Aznar-Gimeno, Rocío	Comparison of methods for the linear combination of biomarkers under Youden Index optimisation criterion
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Bailly, Alexandre	Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches CamemBERT word-embedding for Information Extraction in a Biomedical Context
Bailly, Sébastien	A Hidden Markov model segmentation to identify trajectories in sleep apnoea patients Comparison of two causal inference methods for multiple treatments in clinical research on observational data
Baldauf, Henning	Reconstructing KIR haplotypes taking ambiguous and missing data into account
Baldwin, Simon	Semi-variogram approach to estimate within-subject variability in repeated measurements
Band, Tim	Loop-splitting in network meta-analysis: a new approach to evaluating loop inconsistency
Banerjee, Amitava	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Baralou, Valia	Individual risk prediction: comparing Random Forests with Cox proportional-hazards model by a simulation study
Barbati, Giulia	Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival models Exploring risk stratification in cardiomyopathies using a deep learning approach for survival prediction
Barbieri, Antoine	Impact of model choice when studying the relationship between blood pressure variability and risk of stroke
Bardel, Claire	Evaluating DNA sequencing performance: concordance-discordance model and latent class model
Bardo, Maximilian	A family of discrete random effect distributions for modelling bivariate time-to-event data
Baroni, Giulia	Virtual biopsy in action: a radiomic-based model for CALI prediction
Barrett, Jessica	Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome Landmarking: An R package for analysis using landmark models
Barrott, Isobel	Landmarking: An R package for analysis using landmark models
Bartlett, Jonathan	Weighted hazard ratio for time to event endpoints under non proportional hazards Reference based multiple imputation for trials – what’s the right variance and how to estimate it?
Bartlett, Jonathan	Estimands in clinical trials: making the hypothetical strategy concrete
Bartoli, Francesco	Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features
Basellini, Ugofilippo	Epilocal: A real-time tool for local epidemic monitoring
Bassolli, Lucas	Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study
Basu, Sumanta	A Bayesian approach to estimating dynamic models of co-regulated gene expression
Batterham, Rachel	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Battisti, Leandra	Estimating the causal effect of direct-acting antiviral agents on kidney function in a clinical cohort of chronic Hepatitis C patients
Baumann, Lukas	Monotonicity Rules for Inference in Basket Trials
Baussano, Iacopo	Worldwide age specific Human Papillomavirus prevalence patterns: a mixed effects binomial method to cluster trajectories
Becquemont, Laurent	Does early weight gain mediate the causal effects of severity and duration of depression on the onset of metabolic syndrome?
Behnisch, Rouven	Methods for analyzing time-to-event endpoints in immuno-oncological trials with delayed treatment effects
Bellelli, Giuseppe	A new approach to measure frailty in the context of COVID-19 population
Bellera, Carine	Estimating sample size for biomarker-strategy designs with survival endpoints
Bellot, Alexis	Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning
Belot, Aurélien	A general approach to fit flexible hazard regression models with multiple random effects Predicting individual life years lost due to cancer using pseudo-observations with random forest, in the absence of cause of death information
Bendová, Veronika	Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent Covariates
Benichou, Jacques	Comparison of statistical methods for estimating time-varying treatment effect on adverse event risk
Benkert, Pascal	Flexible generic framework for evidence synthesis in health technology assessment
Benson, Austin	Temporal and relational machine learning for biostatistical and other scientific applications
Bernasconi, Davide Paolo	Double cut-point identification of continuous diagnostic test variables for clinical use
Bero, Lisa	Meta-analysis methods used in systematic reviews of interrupted time series studies
Bertolaccini, Luca	Video-Assisted Non-Intubated Lobectomies for Lung Cancer: A Systematic Review and Meta-Analysis
Bertrand, Julie	Impact of model misspecification on model-based bioequivalence Bayesian multilevel nonlinear joint model to characterize the variability in the response to immunotherapy
Bettega, Francois	Comparison of two causal inference methods for multiple treatments in clinical research on observational data
Beyersmann, Jan	Statistical inference for transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
Bhaskaran, Krishnan	Immortal time bias for life-long conditions in retrospective observational studies using electronic heath records Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Biard, Lucie	Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression
Bihl, Christian	Analysing ordinal endpoints in two-arm randomized clinical trials
Binder, Harald	Statistical Power for Single Cell Representations Individualizing deep dynamic models for psychological resilience data
Binder, Nadine	Reevaluating dementia incidence trends: The critical role of adequate design and methodology
Birks, Jacqueline	A methodological approach to assess data quality from the Clinical Practice Research Datalink
Blagus, Rok	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets Separation in Marginal Logistic Regression Models
Blake, Helen	Linkage of national clinical datasets without patient identifiers using probabilistic methods
Blanc, Corentin	Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches CamemBERT word-embedding for Information Extraction in a Biomedical Context
Blangero, Yoann	Estimating the treatment selection ability of a marker: review, comparison, and improvement of existing approaches
Blankenberg, Stefan	COMET: an R package to identify sample cross-contamination in whole genome sequencing studies
Blankenberg, Stefan	A comprehensive comparison of approaches for the calibration of probability machines
Bofill Roig, Marta	Adaptive clinical trials with selection of composite endpoints and sample size reassessment
Bogachev, Leonid	Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation
Bondi, Laura	Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study
Bonetti, Marco	Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study Epilocal: A real-time tool for local epidemic monitoring
Bonjour, Maxime	Worldwide age specific Human Papillomavirus prevalence patterns: a mixed effects binomial method to cluster trajectories
Bonten, Marc	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
Booth, Brandon	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
Booth, Sarah	Accounting for improvements in survival when developing risk prediction models in a competing risks setting
Bootsma, Martin	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
Borque, Ángel	Comparison of methods for the linear combination of biomarkers under Youden Index optimisation criterion
Botta, Laura	A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality.
Bottigliengo, Daniele	The impact of instruments’ selection on Mendelian randomization results: a case study
Bottolo, Leonardo	ATLASQTL and EPISPOT: two joint hierarchical approaches for detecting and interpreting hotspots in molecular QTL studies
Boulesteix, Anne-Laure	Analysing ordinal endpoints in two-arm randomized clinical trials Phases of methodological research in biostatistics – a proposal to increase transparency and reproducibility
Boulet, Sandrine	Bayesian extrapolation from pre-clinical data to human
Boussari, Olayide	A non-mixture cure model with frailty correction for inaccurate background mortality to estimate time-to-cure. A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality.
Bouvier, Anne-Marie	A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality
Bowden, Jack	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
Bowden, Rhys	Faster and more agile designs: speeding up the stepped wedge with batched designs Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored
Boëlle, Pierre-Yves	Modelling the COVID-19 pandemic: initial introduction, lockdown assessment, phasing out
Braat, Dries	Benefit-based organ allocation in liver transplantation
Braekers, Roel	Modeling Child Mortality in the presence of Clustering
Braisch, Ulrike	A flipped classroom approach for teaching medical statistics and statistical software training
Braitmaier, Malte	Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data
Brakenridge, Christian	Using wristwear device to assess impact of COVID19 lockdown on physical activity
Brat, Gabriel	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
Bretz, Frank	Graphical approaches for the control of generalized error rates
Brosius, Isabel	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making
Brostjan, Christine	A geometric Brownian motion model with non-normal random effect for the prediction of the growth of abdominal aortic aneurysms
Brown, Julia	Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation
Brown, Louise	Performance measures for assessing machine learning algorithms in clinical trials
Bruno, René	Bayesian multilevel nonlinear joint model to characterize the variability in the response to immunotherapy
Bucher, Heiner	Using routinely collected data to conduct a pragmatic randomized controlled trial: an example addressing antibiotic prescription and resistance monitoring in Swiss primary care
Bujkiewicz, Sylwia	Bayesian network meta-analysis methods for combining IPD and aggregate data from single-arm studies and RCTs 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 Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses
Bullock, Garrett	Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved
Burchill, Luke	Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia
Burgard, Jan Pablo	Regional estimates of reproduction numbers with application to COVID-19
Burgess, Stephen	How to deal with collider bias in Mendelian randomization analysis?
Burman, Carl-Fredrik	Improved group sequential Holm procedures for testing multiple correlated hypotheses over time
Burneikaitė, Greta	Challenges of using big health data to identify patterns of anxiety and depression in multimorbid population Creation of adverse drug reactions assessment tool
Burzykowski, Tomasz	Operational characteristics of generalized pairwise comparisons for hierarchically ordered endpoints
Böhning, Dankmar	Mixed Modeling of Regional Infant Mortality Data over Twenty Years in North Rhine-Westphalia.
Böhringer, Stefan	Reconstructing KIR haplotypes taking ambiguous and missing data into account
Bülow, Tanja	Lower Limit of Quantification in various distributed data: examining confidence interval variations
Büsch, Christopher	Additional benefit method assessment for time-to-event endpoints – A comparison of ESMOs and IQWiGs approach
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Cai, Tianxi	Testing for Heterogeneity in the Utility of a Surrogate Marker
Cai, Xiaoxuan	Missing data imputation for non-stationary time series in mHealth data
Calderazzo, Silvia	Compromise Bayesian test decisions under type I error rate constraint
Calderazzo, Silvia	Investigating the operating characteristics of clinical trials with borrowing from external data
Caliebe, Amke	The impact of instruments’ selection on Mendelian randomization results: a case study
Camacho, Ximena	Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia
Cambier, Sebastien	Handling recurrent events in the context of clinical trials
Candel, Math	Small-sample accuracy of approximations of individual polynomial growth curves’ prediction error in linear mixed regression
Cao, Yuqin	Joint contribution of positive and total lymph nodes number in predicting overall survival of esophageal cancer
Capocaccia, Riccardo	A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality.
Carbone, Marco	Double cut-point identification of continuous diagnostic test variables for clinical use
Carletti, Margherita	A new epidemic model for the Covid-19 pandemic
Carlin, John	Simulations to assess the impact of non-adherance due to COVID-19 in a cluster-randomized non-inferiority trial Handling missing data for causal effect estimation in longitudinal cohort studies using Targeted Maximum Likelihood Estimation: a simulation study Should multiple imputation be stratified by exposure when estimating causal effects via outcome regression? Multiple imputation for missing data in case-cohort studies: simulation and case study Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships Simulating hypothetical interventions on multiple mediators: Extending methods and practical guidance
Carlin, John	A comparison of multiple imputation strategies for handling missing data in repeatedly measured multi-item scales
Carpenter, James	Handling missing data from wearable devices in clinical trials
Carpenter, James	Loop-splitting in network meta-analysis: a new approach to evaluating loop inconsistency
Carpenter, James	Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards
Carpenter, James	Multiple imputation in propensity score matching: obtaining correct confidence intervals
Castel, Charlotte	Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers
Caturano, Alfredo	Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA Study
Cavinato, Lara	Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features Virtual biopsy in action: a radiomic-based model for CALI prediction
Cerullo, Enzo	Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard
Chadha-Boreham, Harbajan	Assessment of performance measures for external validation of multivariable prediction models: Simulations
Chakraborty, Bibhas	A Bayesian decision-theoretic approach to outcome-adaptive sequential multiple assignment randomised trials (SMARTs) with distinct intermediate binary endpoints
Chalkou, Konstantina	Decision curve analysis for treatment benefit in a network meta-analysis framework Flexible generic framework for evidence synthesis in health technology assessment
Chalmers, Jo	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
Charamba, Beatrice	Bayesian concurrent functional regression for sensor data
Charvat, Hadrien	Worldwide age specific Human Papillomavirus prevalence patterns: a mixed effects binomial method to cluster trajectories A general approach to fit flexible hazard regression models with multiple random effects
Chatignoux, Edouard	Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers Prediction of cancer incidence in areas without registries using proxy and registry data What is the real prevalence of hypertension in France ?
Chatterjee, Moumita	A martingale based approach for modelling the alternating recurrences in Cystic Fibrosis patients
Chatton, Arthur	Machine learning, G-computation and small sample sizes: a simulation study
Chauvet, Guillaume	Variance estimators for weighted and stratified linear dose-response function estimators using generalized propensity score
Chauvet, Guillaume	An extension of Fellegi-Sunter record linkage model for mixed-type data with application to SNDS
Chen, Ding-Geng	Marginalized two-part joint modeling of longitudinal semi-continuous responses and survival data: with application to medical expenses
Chen, Guanhua	Causal inference for combining RCTs and observational studies: methods comparison and medical application
Chen, Ting	Biologically-informed development of treatment selection scores from high-dimensional omics data
Chen, Zheng	Analysis of competing risks data using restricted mean time lost Impact of competing event in COVID-19 clinical data analysis
Cheng, Allen	Meta-analysis methods used in systematic reviews of interrupted time series studies
Cheng, David	Mediation with Irregular Longitudinal Biomarkers: An Application to Examining Obesity and Severe Disease in COVID-19 Patients
Chester-Jones, Mae	Challenges in Factorial Design Randomized Control Trials
Cheung, Yin Bun	Conditional and unconditional logistic regression analysis of matched case-control studies of recurrent events
Chevret, Sylvie	Phase I/II dose-finding design for right censored toxicity endpoints with competing disease progression
Chevret, Sylvie	Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study
Chiocchia, Virginia	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
Chiodini, Paolo	Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA Study Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
Chiti, Arturo	Virtual biopsy in action: a radiomic-based model for CALI prediction
Chmitorz, Andrea	Individualizing deep dynamic models for psychological resilience data
Choi, Jungyeon	Tying research question and analytical strategy when variables are affected by medication use
Chounta, Stefania	The risk of valvular heart disease after childhood cancer: contribution of dose-volume histogram parameters
Christophe, Bonaldi	What is the real prevalence of hypertension in France ?
Chung, Ryan	A comparison of prioritisation tools for CVD risk assessment in UK Biobank: Primary care records versus polygenic risk scores
Cipriani, Andrea	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
Civet, Alexandre	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
Clancy, John P.	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
Close, Nicole	Assessment of Clinical Trial Missing Data During a Pandemic: A Tipping Point Analysis Case Study
Clémence, Grave	What is the real prevalence of hypertension in France ?
Codd, Mary	A comparison of statistical methods to compensate for missing data in longitudinal cluster-randomised trials
Colicino, Elena	Non-linear and non-additive associations between the pregnancy exposome and birthweight
Colle, Romain	Does early weight gain mediate the causal effects of severity and duration of depression on the onset of metabolic syndrome?
Collins, Gary	COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 Minimum sample size for external validation of a clinical prediction model with a binary or time-to-event outcome Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved
Collins, Gary	An extension to reporting guidelines for systematic reviews of prediction model studies (TRIPOD-SRMA)
Collins, Gary S	Assessing risk of bias in individual participant data meta-analyses for prediction model research
Colnet, Bénédicte	Causal inference for combining RCTs and observational studies: methods comparison and medical application
Colonna, Marc	A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality. Prediction of cancer incidence in areas without registries using proxy and registry data
Comets, Emmanuelle	Impact of model misspecification on model-based bioequivalence Bayesian extrapolation from pre-clinical data to human
Conroy, Thierry	Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials
Cook, Derek G.	Handling missing data from wearable devices in clinical trials
Cooper, Nicola	Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards
Cooper, Nicola	Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard Developing a Novel Interactive Multifaceted Graphic for Treatment Ranking within Network Meta-Analysis
Copas, Andrew	Optimal design of cluster randomized trials with baseline data comparing routine care to a new intervention Under what conditions do open-cohort cluster RCTs provide improvements over conventional designs? A simulation study.
Copetti, Massimiliano	Estimating time to confirmed disease progression in observational data sources with irregular visit schedules
Correges, Anne	A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints
Corruble, Emmanuelle	Does early weight gain mediate the causal effects of severity and duration of depression on the onset of metabolic syndrome?
Cortina-Borja, Mario	Effect of impaired vision on physical activity from childhood to adolescence
Coscia, Claudia	How to deal with collider bias in Mendelian randomization analysis?
Costa, Guido	Virtual biopsy in action: a radiomic-based model for CALI prediction
Couch, Philip	Comparison of imputation methods that solve granularity problem resulting from healthcare structured data integration.
Coudon, Thomas	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
Cournede, Paul-Henry	Survival Predictions and Uncertainty Measures with Censored Data
Couvidat, Florian	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
Cowell, Whitney	Non-linear and non-additive associations between the pregnancy exposome and birthweight
Cowling, Thomas	Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning
Crandon, Holly	Effects of probiotics on mortality and morbidity in preterm infants: a Bayesian network meta-analysis of randomized and non-randomized studies
Cristoferi, Laura	Double cut-point identification of continuous diagnostic test variables for clinical use
Cromwell, David	Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning
Crowther, Michael	MSMplus: A dynamic interactive web tool for presentation of multi-state model analysis results Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards A general framework and implementation for variance modelling in joint model settings
Cuer, Benjamin	Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials
Cuevas Andrade, Ilse	Use of electronic health records to enhance data from a single clinical trial evaluating maintenance therapy in non-small cell lung cancer patients
Cvancarova Smastuen, Milada	Possibilities and challenges when analysing large longitudinal data from a population based Norwegian registry (MoBa study).
Czene, Kamila	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth
D
d'Adamo, A. Pio	Exploring risk stratification in cardiomyopathies using a deep learning approach for survival prediction
D'Innocenzo, Enzo	Spatio-temporal score driven modeling of resting state fMRI data
Dabone, Eric Agodio Bernard	Bayesian inference for the direct approach for competing risk modeling with Gompertz distribution
Dahly, Darren	On the marginality principle, with a focus on ratios and interactions
Dal Ferro, Matteo	Exploring risk stratification in cardiomyopathies using a deep learning approach for survival prediction
Dam, Demy	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
Dambrauskas, Laimis	Creation of adverse drug reactions assessment tool
Damen, Johanna Aa	Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved
Daniel, Rhian	Estimands in clinical trials: making the hypothetical strategy concrete Mediation with a survival outcome and time-varying mediator: empirical comparison and use in observational data
Darbier, Adrien	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
Dardenne, Nadia	Multidimensional mediators: Comparison between statistical methods using Data simulation
Dascalu, Cristina Gena	Similarities between the COVID-19 spread in Romanian counties identified through data clustering
Dashti, S. Ghazaleh	Handling missing data for causal effect estimation in longitudinal cohort studies using Targeted Maximum Likelihood Estimation: a simulation study Should multiple imputation be stratified by exposure when estimating causal effects via outcome regression?
Davies, Annabel	Network meta-analysis and random walks
Davis-Plourde, Kendra	Sample size calculation for stepped wedge cluster randomized trials with multiple levels of clustering
De Angelis, Daniela	Evaluating the effectiveness of local tracing partnerships on NHS test and trace for Covid19 Statistical challenges in the monitoring of the SARS-CoV-2 pandemic Nowcasting CoVID-19 Deaths in England by Age and Region
de Courson, Hugues	Impact of model choice when studying the relationship between blood pressure variability and risk of stroke
de Jong, Valentijn	Propensity-based standardization to enhance the interpretation of prediction model discrimination
de Luna, Xavier	Valid Uncertainty Interval for the Average Causal Effect in a High-dimensional Settingv
de Moor, Carl	Estimating time to confirmed disease progression in observational data sources with irregular visit schedules
De Nicola, Luca	Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
De Silva, Anurika	Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships
De Stavola, Bianca	Target Trial Emulation and Missing Eligibility Data: A study of Palivizumab for child respiratory illness
de Uña-Álvarez, Jacobo	Testing for ignorable sampling bias under random double truncation
de Wreede, Liesbeth C.	Reconstructing KIR haplotypes taking ambiguous and missing data into account
Debray, Thomas	Assessing risk of bias in individual participant data meta-analyses for prediction model research
Debray, Thomas	Estimating time to confirmed disease progression in observational data sources with irregular visit schedules Propensity-based standardization to enhance the interpretation of prediction model discrimination Minimum sample size for external validation of a clinical prediction model with a binary or time-to-event outcome
Debray, Thomas	An extension to reporting guidelines for systematic reviews of prediction model studies (TRIPOD-SRMA)
Deeks, Jonathan J	Semi-variogram approach to estimate within-subject variability in repeated measurements Statistical methods for estimating sources of variability in count-based biomarkers
Dekkers, Olaf	Tying research question and analytical strategy when variables are affected by medication use Meta-analysis of randomised trials with continuous outcomes: methods that adjust for baseline should be used
Del Greco M., Fabiola	The impact of instruments’ selection on Mendelian randomization results: a case study
del-Hoyo-Alonso, Rafael	Comparison of methods for the linear combination of biomarkers under Youden Index optimisation criterion
Delaporte, Eric	Modelling the duration of recurrent events from interval-censored data
Delmestri, Antonella	Longitudinal progression of frailty in older population and risk of adverse events: An application of joint models
Deltuvaite-Thomas, Vaiva	Operational characteristics of generalized pairwise comparisons for hierarchically ordered endpoints
Dempsey, Walter	Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
Denaxas, Spiros	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Desmée, Solène	Bayesian multilevel nonlinear joint model to characterize the variability in the response to immunotherapy
Devaux, Anthony	Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
Deygas, Floriane	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
Dhiman, Paula	An extension to reporting guidelines for systematic reviews of prediction model studies (TRIPOD-SRMA)
Dhiman, Paula	Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved
Di Stefano, Fulvio	A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time-to-event endpoints
Diallo, Mamadou Saliou Kalifa	Modelling the duration of recurrent events from interval-censored data
Diaz, Mireya	Non-linear dynamic indices summarize densely sampled longitudinal data
Diaz Montana, Carlos	Performance measures for assessing machine learning algorithms in clinical trials
Diaz-Ordaz, Karla	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Diaz-Ordaz, Karla	Performance measures for assessing machine learning algorithms in clinical trials
Didelez, Vanessa	Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data Separable Causal Effects as alternative Estimands in Epidemiology and Biostatistics
Dieng, Awa	Causal inference for combining RCTs and observational studies: methods comparison and medical application
Diep, Anh Nguyet	Cluster analysis on emergency COVID-19 data: A result-based multiple imputation for missing data
Dietrich, Thomas	Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per patient
Dijkstra, Louis	Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets
Dinart, Derek	Estimating sample size for biomarker-strategy designs with survival endpoints
Diop, Awa	Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
Dobson, Richard	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
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Dreyfuss, Didier	Harmonization of endpoints in ICU trials using multi-state modelling
Duda, Julia	Model selection characteristics when using MCP-Mod for dose-response gene expression data
Duerr, Oliver	Interpretable effect estimates of semi-structured predictors in deep distributional regression models
Dukes, Oliver	Valid post-selection inference for cox regression parameters, with and without the proportional hazards assumption.
Dunger-Baldauf, Cornelia	Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials
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Dutton, Susan J	Challenges in Factorial Design Randomized Control Trials
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E
Easter, Christina	Stepped-wedge cluster randomised trials with binary outcomes and small numbers of clusters: a case study
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El Bouhaddani, Said	Investigating Down syndrome by integrating methylation and glycomics using supervised PO2PLS
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El Tayar, Ayman	Predictors of Multidrug Resistance in Nosocomial Pneumonia among Intensive Care Units’ Patients of a Tertiary Hospital, Egypt
Eletti, Alessia	A unifying framework for flexible excess hazard modeling with applications in cancer epidemiology
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Etard, Jean-François	Modelling the duration of recurrent events from interval-censored data
Everett, Colin	Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation
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Faes, Christel	Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data
Fairfax, Benjamin	ATLASQTL and EPISPOT: two joint hierarchical approaches for detecting and interpreting hotspots in molecular QTL studies
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Fang, Fang	Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis
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Faria, Bernardo	Multiple Cox regression analysis to investigate a biomarker in IgA nephropathy disease: different approaches
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Faucheux, Lilith	Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study
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Feng, Kairui	Impact of model misspecification on model-based bioequivalence
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Ferrari, Federico	Non-linear and non-additive associations between the pregnancy exposome and birthweight
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Fervers, Béatrice	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
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Furukawa, Toshi A.	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
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Gabet, Amélie	What is the real prevalence of hypertension in France ?
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Gaudry, Stephane	Harmonization of endpoints in ICU trials using multi-state modelling
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Genin, Emanuelle	Evaluating DNA sequencing performance: concordance-discordance model and latent class model
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Geroldinger, Angelika	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets Separation in Marginal Logistic Regression Models
Geskus, Ronald	Estimation of incubation time and latency time distribution of SARS-CoV-2: the impact of distributional assumptions
Ghodssi-Ghassemabadi, Robabeh	Frailty Multi-state Model with Time-dependent Covariate for Prediction of Colorectal Cancer Progression
Ghorbal, Rim	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
Ghuysen, Alexandre	Cluster analysis on emergency COVID-19 data: A result-based multiple imputation for missing data
Gilberg, Mélina	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
Gilbert, Allison	Cluster analysis on emergency COVID-19 data: A result-based multiple imputation for missing data
Gillaizeau, Florence	Handling recurrent events in the context of clinical trials
Gillies, Clare	Bayesian network meta-analysis methods for combining IPD and aggregate data from single-arm studies and RCTs
Giorgi, Roch	A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality
Glimm, Ekkehard	Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials
Godolphin, Peter	A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis
Goedhart, Jeroen	Improving model performance estimation in high-dimensional data settings by using learning curves
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Gokcebel, Senay	Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor Analysis
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Gorbach, Tetiana	Valid Uncertainty Interval for the Average Causal Effect in a High-dimensional Settingv
Goudsmit, Ben	Benefit-based organ allocation in liver transplantation
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Goungounga, Juste	A non-mixture cure model with frailty correction for inaccurate background mortality to estimate time-to-cure. A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality.
Gourgou, Sophie	Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials
Grafféo, Nathalie	A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality
Gran, Sonia	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
Grassot, Leny	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
Gray, Laura	Use of electronic health records to enhance data from a single clinical trial evaluating maintenance therapy in non-small cell lung cancer patients
Gray, Laura	Component Network Meta-Analysis Including Individual Participant Data and Summary Aggregate Data
Grayling, Michael	A stochastically curtailed two-arm randomised phase II trial design for binary outcomes Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods
Graziano, Francesca	A new approach to measure frailty in the context of COVID-19 population
Gregorich, Mariella	Subject-specific networks as features for predictive modelling - A scoping review of methods
Gregorio, Caterina	Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival models
Gressani, Oswaldo	Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data
Griffiths, Rowena	Pathways to inequalities in child mortality: a population level study in Wales
Grigentytė, Monika	Creation of adverse drug reactions assessment tool
Grigorova, Denitsa	Statistical models for the natural history of breast cancer, with application to data from a Milan cohort study
Grimshaw, Jeremy	Meta-analysis methods used in systematic reviews of interrupted time series studies
Griswold, Michael	Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome
Groenwold, Rolf	Incident and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a systematic review Sensitivity analyses for measurement error using regression calibration or simulation-extrapolation Identification of causal effects in case-control studies
Grosser, Stella	Impact of model misspecification on model-based bioequivalence
Gsteiger, Sandro	Bayesian network meta-analysis methods for combining IPD and aggregate data from single-arm studies and RCTs
Gu, Zhujie	Investigating Down syndrome by integrating methylation and glycomics using supervised PO2PLS
Guedj, Jérémie	Bayesian multilevel nonlinear joint model to characterize the variability in the response to immunotherapy
Guhl, Mélanie	Impact of model misspecification on model-based bioequivalence
Guillotin, Thierry	Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches CamemBERT word-embedding for Information Extraction in a Biomedical Context
Gómez Melis, Guadalupe	Adaptive clinical trials with selection of composite endpoints and sample size reassessment
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Habarta, Filip	A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power
Hagiwara, Yasuhiro	Marginal structural Cox models in nested case-control studies with time-varying treatments
Hajage, David	Variance estimators for weighted and stratified linear dose-response function estimators using generalized propensity score Harmonization of endpoints in ICU trials using multi-state modelling
Hajizadeh, Ebrahim	Frailty Multi-state Model with Time-dependent Covariate for Prediction of Colorectal Cancer Progression
Halbeisen, Florian	Using routinely collected data to conduct a pragmatic randomized controlled trial: an example addressing antibiotic prescription and resistance monitoring in Swiss primary care
Hall, Per	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth
Haller, Maria	Causal inference in practice: two case studies in nephrology
Hamaker, Ellen	Dynamic structural equation modeling for intensive longitudinal data
Hamza, Tasnim	Flexible generic framework for evidence synthesis in health technology assessment
Happe, André	An extension of Fellegi-Sunter record linkage model for mixed-type data with application to SNDS
Harbron, Chris	A comparison of dual biomarker threshold identification procedures within a confirmatory clinical trial
Hardelid, Pia	Target Trial Emulation and Missing Eligibility Data: A study of Palivizumab for child respiratory illness
Harman, Karen	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
Harrison, Stephanie	Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
Harron, Katie	Linkage of national clinical datasets without patient identifiers using probabilistic methods Data linkage for creating electronic birth cohorts: handling bias due to linkage error
Hartman, Mikael	Treating ordinal outcomes as continuous quantities: when, why and how.
Hattle, Miriam	Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis
Haug, Ulrike	Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data
Haurat, Javier	Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia
Hautekiet, Joris	A framework for meta-analysis of studies with baseline exposure through standardized survival curves
Hawkins, Neil	Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards
Hayes, Richard	Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome
Hazewinkel, Audinga-Dea	Neural networks for survival prediction in medicine: a review and critical appraisal Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
He, Jiayu	Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor Analysis
Heiner, Bonnie	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
Heinz, Priska	The role of the matching algorithm in an analysis of the effect of hemoadsorption in patients with sepsis
Heinze, Georg	COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 Selective inference for the Lasso in statistical practice Causal inference in practice: two case studies in nephrology Introducing GINGER - a General simulation-INterpolation tool for designing multiGroup ExpeRiments To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets Phases of methodological research in biostatistics – a proposal to increase transparency and reproducibility Separation in Marginal Logistic Regression Models
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Heinzl, Harald	Assessment of performance measures for external validation of multivariable prediction models: Simulations
Held, Ulrike	The role of the matching algorithm in an analysis of the effect of hemoadsorption in patients with sepsis The Need for Expanded Standardized Reporting for Machine Learning Methods in Clinical Prediction
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Hemingway, Harry	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Hemming, Karla	Stepped-wedge cluster randomised trials with binary outcomes and small numbers of clusters: a case study The p-value conundrum: how can a Bayesian analysis help? A case study in reproductive and maternal-fetal medicine
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Henriques, Carla	Pain Management in Immediate Life Support Ambulances Multiple Cox regression analysis to investigate a biomarker in IgA nephropathy disease: different approaches
Hens, Niel	Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data
Hens, Niel	A family of discrete random effect distributions for modelling bivariate time-to-event data Impact of STI screening intensity on antibiotic exposure: A modelling study among men who have sex with men in Belgium
Herzig, Anthony	Evaluating DNA sequencing performance: concordance-discordance model and latent class model
Herzog, Lisa	Interpretable effect estimates of semi-structured predictors in deep distributional regression models
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Heyder, Stefan	Regional estimates of reproduction numbers with application to COVID-19
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Higgins, Julian P.T.	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
Hilgers, Ralf-Dieter	Lower Limit of Quantification in various distributed data: examining confidence interval variations Evaluation of the Fill-it-up design to combine data from observational trials and RCTs
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Hof, Michel	Bayesian hierarchical modeling for MedDRA coded adverse events in RCTs
Holden, Melanie A.	Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis
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Holt, Tim	A methodological approach to assess data quality from the Clinical Practice Research Datalink
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Hotz, Thomas	Regional estimates of reproduction numbers with application to COVID-19
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Hubbard, Stephanie	Component Network Meta-Analysis Including Individual Participant Data and Summary Aggregate Data Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses
Huille, Raphael	Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome
Humphreys, Keith	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth
I
Ibrahim-Kosta, Manal	Retro-prospective modelling of recurrent events
Ieva, Francesca	Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma ERNEST: A Representation Learning-based Cross-Subject EEG Channel Selection Algorithm Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival models Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features Virtual biopsy in action: a radiomic-based model for CALI prediction
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Irie, Shoichi	Modeling Non-Proportional Hazards for Overall Survival Time for Cancer Treatments
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Ismail, Khalida	Handling missing data from wearable devices in clinical trials
Ivaturi, Vijay	Pharmacometrics-Informed Deep Learning with DeepNLME
Iwaz, Jean	The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin
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Jacobs, Bart K.M.	Statistical considerations in using a novel consensus building technique to estimate action thresholds in clinical decision making Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard
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Jacqmin-Gadda, Hélène	Retro-prospective modelling of recurrent events
Jacques, Blacher	What is the real prevalence of hypertension in France ?
Jakaitienė, Audronė	Challenges of using big health data to identify patterns of anxiety and depression in multimorbid population Creation of adverse drug reactions assessment tool
Jamal, Fadi	Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches CamemBERT word-embedding for Information Extraction in a Biomedical Context
Janošová, Markéta	Functional analysis of temporal data about patient’s health condition after total knee replacement
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Jiricka, Lena	Introducing GINGER - a General simulation-INterpolation tool for designing multiGroup ExpeRiments
Jones, Hayley	Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard
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Jooste, Valérie	A latent class model for the estimation of the excess mortality hazard for correcting inaccurate background mortality A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer mortality.
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Kamyan, Shaghayegh	Frailty Multi-state Model with Time-dependent Covariate for Prediction of Colorectal Cancer Progression
Kantidakis, Georgios	Neural networks for survival prediction in medicine: a review and critical appraisal
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Karapanagiotis, Solon	Tailored Bayesian variable selection for risk prediction modelling under unequal misclassification costs
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Kasza, Jessica	Faster and more agile designs: speeding up the stepped wedge with batched designs Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored
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Kennedy, Chris	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
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Nab, Linda	Sensitivity analyses for measurement error using regression calibration or simulation-extrapolation
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O'Connell, Maurice	Pathway specific population attributable fractions.
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Olarte Parra, Camila	Estimands in clinical trials: making the hypothetical strategy concrete
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Omata, Kazumi	Mathematical Modelling of COVID-19 Epidemics in Tokyo Metropolitan and New York City
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Ouma, Luke	Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods
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Owuor, Nelson	Modeling Child Mortality in the presence of Clustering
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Persson, Monica	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
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Rabilloud, Muriel	Estimating the treatment selection ability of a marker: review, comparison, and improvement of existing approaches
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Robertson, David	Graphical approaches for the control of generalized error rates Response-adaptive randomization in clinical trials: from myths to practical considerations
Robinson, Danielle E	Longitudinal progression of frailty in older population and risk of adverse events: An application of joint models
Robinson, Kortney	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
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Rouanet, Anaïs	Joint modelling of the temporal relationships between multivariate longitudinal markers of Alzheimer’s disease progression and clinical endpoints
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Rytgaard, Helene	TMLE for Causal Effects based on continuous time longitudinal data structures
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Sabroso, Sergio	Comparison of methods for the linear combination of biomarkers under Youden Index optimisation criterion
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Sanz, Gerardo	Comparison of methods for the linear combination of biomarkers under Youden Index optimisation criterion
Sanzi, Samia Sultana	Relation between women empowerment and birth interval: A survival analysis approach
Saperkin, Nikolai	Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions
Sasso, Ferdinando Carlo	Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA Study Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
Sato, Tomoharu	One small clinical trial design to provide additional evidence of treatment effects than single-arm trials.
Sauerbrei, Willi	On the implications of influential points for the selection and reproducibility of MFP models
Sauter, Jürgen	Reconstructing KIR haplotypes taking ambiguous and missing data into account
Savaré, Laura	Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data
Scalise, P. Nina	Targeted causal quantile estimation for measurement of postdischarge opioid use in a text-to-web survey
Schaedelin, Sabine	Flexible generic framework for evidence synthesis in health technology assessment
Schaeffer, Marie-Caroline	A Hidden Markov model segmentation to identify trajectories in sleep apnoea patients
Schetelig, Johannes	Reconstructing KIR haplotypes taking ambiguous and missing data into account
Schick, Anita	Individualizing deep dynamic models for psychological resilience data
Schlub, Timothy	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
Schlüter, Daniela	Pathways to inequalities in child mortality: a population level study in Wales
Schmid, Matthias	A comprehensive comparison of approaches for the calibration of probability machines
Schmidt, James	The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables
Schreck, Nicholas	Explained Variation in the Linear Mixed Model
Schumacher, Martin	Reevaluating dementia incidence trends: The critical role of adequate design and methodology
Schwabe, Andrej	Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
Schwarz, Sarina	Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims data
Scott, Darren	Variational Bayes for Model Averaging for Multivariate models using Compositional Microbiome predictors
Seaman, Shaun	Evaluating the effectiveness of local tracing partnerships on NHS test and trace for Covid19 Nowcasting CoVID-19 Deaths in England by Age and Region
Sebastian, Alexandra	Individualizing deep dynamic models for psychological resilience data
Segurado, Ricardo	A comparison of statistical methods to compensate for missing data in longitudinal cluster-randomised trials
Seibold, Heidi	The Need for Expanded Standardized Reporting for Machine Learning Methods in Clinical Prediction
Seitz, Christian	Substitution of study control group by historic controls: Effect on study results using the example pain therapy for endometriosis
Seitz, Christina	Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis
Selukar, Subodh	RECeUS: Ratio Estimation of Censored Uncured Subjects for Studying Sufficient Follow-Up in Studies of Long-Term Survivors
Senn, Stephen	Trials of Vaccine Efficacy for COVID-19: Inferential and Practical Issues
Sergeeva, Ekaterina	Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions
Severi, Gianluca	The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin
Severi, Gianluca	Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N cohort
Shanazy, Hemin	Landmark Prediction of Survival for HIV-infected Patients by Considering AIDS as an Intermediate Event
Sharan, Satish	Impact of model misspecification on model-based bioequivalence
Shariati, Ali	Confidence bands of the MRL function in some right censored prevalent cohort studies via the empirical likelihood
Shariff, Nazneen	STATISTICAL METHODS TO ANALYSE ORDINAL CATEGORICAL DATA ARISING FROM THE CLINICAL TRIAL OF DRUGS FROM THE PHARMACEUTICAL INDUSTRY
Sharples, Linda	Linkage of national clinical datasets without patient identifiers using probabilistic methods Sensitivity of results to missing data for clinical trials with discrete, longitudinal outcome measurements Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine learning Mediation with a survival outcome and time-varying mediator: empirical comparison and use in observational data
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Shen, Changyu	Estimating time to confirmed disease progression in observational data sources with irregular visit schedules
Shepherd, Daisy	Causal inference with skewed outcome data: Moving beyond the “ignore or transform” approach
Sheppard, James	Using meta-analysis for external validation of prediction models in big data, accounting for competing risks
Shkedy, Ziv	An evaluation of the stability, precision and performance of phenomenological models applied to COVID-19 cases and deaths in South Africa
Shojaei Shahrokhabadi, Mohadeseh	Marginalized two-part joint modeling of longitudinal semi-continuous responses and survival data: with application to medical expenses
Sick, Beate	Interpretable effect estimates of semi-structured predictors in deep distributional regression models
Sieverding, Marius	Substitution of study control group by historic controls: Effect on study results using the example pain therapy for endometriosis
Silman, Alan	Longitudinal progression of frailty in older population and risk of adverse events: An application of joint models
Simeon, Vittorio	Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA Study Multifactor intervention efficacy on MACE and mortality in diabetic kidney disease: a cluster-randomized controlled trial
Simoneau, Gabrielle	Estimating time to confirmed disease progression in observational data sources with irregular visit schedules
Simpkin, Andrew	Bayesian concurrent functional regression for sensor data
Simpson, Julie	A Bayesian decision-theoretic approach to outcome-adaptive sequential multiple assignment randomised trials (SMARTs) with distinct intermediate binary endpoints
Simpson, Julie A.	Handling missing data for causal effect estimation in longitudinal cohort studies using Targeted Maximum Likelihood Estimation: a simulation study Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia
Singh, Janharpreet	Bayesian network meta-analysis methods for combining IPD and aggregate data from single-arm studies and RCTs
Sirois, Caroline	Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
Sisk, Rose	Single and multiple imputation combined with missing indicators in clinical prediction models: a simulation study
Sisti, Davide	Mathematical proof of the equivalence between Post-test Predictive Probabilities and Predictive Values A new epidemic model for the Covid-19 pandemic
Sitch, Alice	Semi-variogram approach to estimate within-subject variability in repeated measurements Statistical methods for estimating sources of variability in count-based biomarkers
Skourlis, Nikolaos	MSMplus: A dynamic interactive web tool for presentation of multi-state model analysis results
Skypala, Matea	Extending multistate models with g-computation to evaluate the effect of treatment timing
Smith, Ellesha	Component Network Meta-Analysis Including Individual Participant Data and Summary Aggregate Data
Smith, Isabelle	Sensitivity of results to missing data for clinical trials with discrete, longitudinal outcome measurements
Smits, Luc	COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19
Snell, Kym	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 An extension to reporting guidelines for systematic reviews of prediction model studies (TRIPOD-SRMA)
Snell, Kym I E	Assessing risk of bias in individual participant data meta-analyses for prediction model research
Solebo, Ameenat O.	Effect of impaired vision on physical activity from childhood to adolescence
Sollini, Martina	Prostate cancer intratumor heterogeneity assessment by depth measures analysis on imaging texture features
Somda, Serge Manituo Aymar	Bayesian inference for the direct approach for competing risk modeling with Gompertz distribution
Sommen, Cécile	Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers
Sooriyarachchi, Marina Roshini	Developing a Goodness of fit test for a joint model: The case of clustered survival and count data
Sousedík, Bedřich	Application of a spatio-temporal SVEIRD model to COVID-19 epidemic in the Czech Republic
Soutinho, Gustavo	Parametric Landmark estimation of the transition probabilities in survival data with multiple events
Spaggiari, Lorenzo	Video-Assisted Non-Intubated Lobectomies for Lung Cancer: A Systematic Review and Meta-Analysis
Speich, Benjamin	Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be improved
Spekreijse, Judith	Incident and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a systematic review
Sperrin, Matthew	Single and multiple imputation combined with missing indicators in clinical prediction models: a simulation study
Spineli, Loukia	Quantifying the robustness of primary analysis results: a case study on missing outcome data in pairwise and network meta-analysis
Spreafico, Marta	Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma
Stahl, Daniel	Handling missing data from wearable devices in clinical trials
Stallard, Nigel	A comparison of dual biomarker threshold identification procedures within a confirmatory clinical trial Comparison of frequentist and Bayesian methods for two-arm borrowing of historical data
Stannard, Rachael	Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information
Stevens, David	Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
Steyerberg, Ewout	COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 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
Stijnen, Theo	Meta-analysis of randomised trials with continuous outcomes: methods that adjust for baseline should be used
Stocken, Deborah	Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation
Strandberg, Rickard	Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and growth
Strauss, Victoria Y	Longitudinal progression of frailty in older population and risk of adverse events: An application of joint models
Strohmaier, Susanne	Causal inference in practice: two case studies in nephrology
Stuart, Elizabeth	Methods for combining experimental and population data to estimate population average treatment effects
Støer, Nathalie	Treating ordinal outcomes as continuous quantities: when, why and how.
Subramaniam, Suvitha	Flexible generic framework for evidence synthesis in health technology assessment
Subramanian, Jyothi	Biologically-informed development of treatment selection scores from high-dimensional omics data
Subtil, Fabien	Trajectory clustering using mixed classification models Worldwide age specific Human Papillomavirus prevalence patterns: a mixed effects binomial method to cluster trajectories
Subtil, Fabien	Estimating the treatment selection ability of a marker: review, comparison, and improvement of existing approaches
Sugitani, Yasuo	Biomarker-based Bayesian randomized clinical trial for population finding with efficient reduction of sample size
Sun, Guyoing	Impact of model misspecification on model-based bioequivalence
Sun, Wanjie	Impact of model misspecification on model-based bioequivalence
Sunqvist, Martina	Subject-specific networks as features for predictive modelling - A scoping review of methods
Sutton, Alex	Evidence Synthesis of Time-To-Event Outcomes in the Presence of Non-Proportional Hazards
Sutton, Alex	Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard Developing a Novel Interactive Multifaceted Graphic for Treatment Ranking within Network Meta-Analysis
Sweeting, Michael	The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted lifetables
Szczesniak, Rhonda D.	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
Ségalas, Corentin	Multiple imputation in propensity score matching: obtaining correct confidence intervals
T
Tackney, Mia	Handling missing data from wearable devices in clinical trials
Taddé, Bachirou	Joint modelling of the temporal relationships between multivariate longitudinal markers of Alzheimer’s disease progression and clinical endpoints
Tahir, Hannan	Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study
Takeda, Yuriko	Joint Modeling of Incomplete Longitudinal Data and Time-to-Event Data
Takeuchi, Yoshinori	Marginal structural Cox models in nested case-control studies with time-varying treatments
Takwoingi, Yemisi	Semi-variogram approach to estimate within-subject variability in repeated measurements
Talbot, Denis	Marginal Structural Models with Latent Class Growth Modeling of Time-varying Treatment.
Taljaard, Monica	Sample size calculation for stepped wedge cluster randomized trials with multiple levels of clustering The p-value conundrum: how can a Bayesian analysis help? A case study in reproductive and maternal-fetal medicine Meta-analysis methods used in systematic reviews of interrupted time series studies
Talukdar, Jhalok Ronjan	Effects of probiotics on mortality and morbidity in preterm infants: a Bayesian network meta-analysis of randomized and non-randomized studies
Tan, Chuen Seng	Treating ordinal outcomes as continuous quantities: when, why and how.
Tang, Linh	Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor Analysis
Tang, Xiaoyu	Bayesian multivariate network meta-analysis model for the difference in restricted mean survival times
Tango, Toshiro	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme Non-inferiority trials with indirect evidence of assay sensitivity using network meta-analysis
Tanner, Kamaryn T.	Mediation with a survival outcome and time-varying mediator: empirical comparison and use in observational data
Taylor, Jeremy	Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm
Taylor-Robinson, David	Pathways to inequalities in child mortality: a population level study in Wales
Thabane, Lehana	Outcomes reported in randomized clinical trials of depression in geriatric patients: a methodological review Effects of probiotics on mortality and morbidity in preterm infants: a Bayesian network meta-analysis of randomized and non-randomized studies
Thiebaut, Anne	Comparison of statistical methods for estimating time-varying treatment effect on adverse event risk
Thiebaut, Rodolphe	Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine trial
Thiéry, Alexandre	COMET: an R package to identify sample cross-contamination in whole genome sequencing studies
Thiéry, Alexandre	A comprehensive comparison of approaches for the calibration of probability machines
Thomadakis, Christos	Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of failure
Thomas, Kim	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
Thomassen, Doranne	A Bayesian model for heterogeneous treatment effects on the additive risk scale in meta-analysis
Thompson, Jennifer	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
Thornton, Lukar	Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia
Tian, Lu	Testing for Heterogeneity in the Utility of a Surrogate Marker
Tierney, Jayne	Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis
Tilling, Kate	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
Timmer, Jens	Individualizing deep dynamic models for psychological resilience data
Timsit, Jean-François	Individual dynamic predictions in joint analysis of non-linear longitudinal model and parametric competing risk model: application to sepsis patients
Titman, Andrew	Confidence intervals for the treatment effect in the Magnusson-Turnbull adaptive enrichment design
Tomer, Anirudh	Personalized Schedules for Invasive Diagnostic Tests: With Applications in Surveillance of Chronic Diseases
Tompsett, Daniel	Target Trial Emulation and Missing Eligibility Data: A study of Palivizumab for child respiratory illness
Touloumi, Giota	Individual risk prediction: comparing Random Forests with Cox proportional-hazards model by a simulation study Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of failure
Touraine, Célia	Joint model versus linear mixed model to analyze longitudinal data of health-related quality of life in cancer clinical trials
Toure, Abdoulaye	Modelling the duration of recurrent events from interval-censored data
Treppner, Martin	Statistical Power for Single Cell Representations
Trinkūnas, Justas	Challenges of using big health data to identify patterns of anxiety and depression in multimorbid population Creation of adverse drug reactions assessment tool
Trinquart, Ludovic	Bayesian multivariate network meta-analysis model for the difference in restricted mean survival times
Tryposkiadis, Kostas	Statistical methods for estimating sources of variability in count-based biomarkers
Trégouët, David-Alexandre	Retro-prospective modelling of recurrent events
Tsilidis, Kostas	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Tsoumanis, Achilleas	Impact of STI screening intensity on antibiotic exposure: A modelling study among men who have sex with men in Belgium
Turner, Becky	Loop-splitting in network meta-analysis: a new approach to evaluating loop inconsistency Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis Analysis methods for personalized randomized controlled trial (PRACTical)
Turner, Maureen	Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Australia
Turner, Simon	Meta-analysis methods used in systematic reviews of interrupted time series studies
Tyrer, Freya	Immortal time bias for life-long conditions in retrospective observational studies using electronic heath records
Tzourio, Christophe	Impact of model choice when studying the relationship between blood pressure variability and risk of stroke
Tüscher, Oliver	Individualizing deep dynamic models for psychological resilience data
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Uh, Hae-Won	Investigating Down syndrome by integrating methylation and glycomics using supervised PO2PLS
Uhry, Zoé	Prediction of cancer incidence in areas without registries using proxy and registry data
Unkel, Steffen	A family of discrete random effect distributions for modelling bivariate time-to-event data
Uozumi, Ryuji	An early-phase clinical trial design in oncology with generalization ability
Urbas, Szymon	Modelling time varying recruitment rates and site activation prediction in multicentre clinical trials: A comparison study.
Ursino, Moreno	Bayesian extrapolation from pre-clinical data to human
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Uschner, Diane	Randomization tests to address disruptions in clinical trials
Usher-Smith, Juliet	A comparison of prioritisation tools for CVD risk assessment in UK Biobank: Primary care records versus polygenic risk scores
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Valla, Lisbeth	Possibilities and challenges when analysing large longitudinal data from a population based Norwegian registry (MoBa study).
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van der Laan, Mark	TMLE for Causal Effects based on continuous time longitudinal data structures
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van der Windt, Danielle	Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD meta-analysis
van Geloven, Nan	Benefit-based organ allocation in liver transplantation Extending multistate models with g-computation to evaluate the effect of treatment timing
Van Heerden, Alastair	Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard
Van Lancker, Kelly	Valid post-selection inference for cox regression parameters, with and without the proportional hazards assumption.
van Nee, Mirrelijn	Fast marginal likelihood estimation of penalties for group-adaptive elastic net
van Ravenzwaaij, Don	Bayes Factors for Equivalence, Non-inferiority, and Superiority Designs Using baymedr
van Rosmalen, Joost	Incorporating multiple parameters from historical controls using the meta-analytic-predictive (MAP) prior
van Smeden, Maarten	Incident and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a systematic review COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19 Minimum sample size for external validation of a clinical prediction model with a binary or time-to-event outcome On the marginality principle, with a focus on ratios and interactions
Van Steen, Kristel	Patient heterogeneity assessments via network-based ANOVA
Van Steen, Kristel	Subject-specific networks as features for predictive modelling - A scoping review of methods
Vanderbeek, Alyssa	Fast-tracking clinical trial innovations – a COVID-19 silver lining
Vansteelandt, Stijn	Valid post-selection inference for cox regression parameters, with and without the proportional hazards assumption. Confounder selection strategies targeting stable treatment effect estimators Caution When Inferring the Effect Direction in Mendelian Randomization Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown
Varoquaux, Gaël	Causal inference for combining RCTs and observational studies: methods comparison and medical application
Venkatasubramaniam, Ashwini	Performance measures for assessing machine learning algorithms in clinical trials
Venkatraman, Sara	A Bayesian approach to estimating dynamic models of co-regulated gene expression
Vert, Jean-Philippe	Causal inference for combining RCTs and observational studies: methods comparison and medical application
Vetrano, Erica	Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA Study
Vey, Johannes	Parametric and non-parametric variable selection methods for predictive modeling with binary response
Vidot, Loïck	Interim analysis of a clinical trial using the predictive probability of success based on a surrogate endpoint
Viganò, Luca	Virtual biopsy in action: a radiomic-based model for CALI prediction
Villar, Sofia	Response-adaptive randomization in clinical trials: from myths to practical considerations
Vinogradova, Yana	Long-term oral prednisolone exposure for bullous pemphigoid: a population-based study using ‘big data’ and missing data algorithms
Virdee, Pradeep S.	Challenges in Factorial Design Randomized Control Trials A methodological approach to assess data quality from the Clinical Practice Research Datalink
Vo, Thanh-Huan	An extension of Fellegi-Sunter record linkage model for mixed-type data with application to SNDS
von Cube, Maja	Harmonization of endpoints in ICU trials using multi-state modelling
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Wade, Kaitlin	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
Waernbaum, Ingeborg	Challenges and opportunities for learning from long term disease registers: - Causal inference
Wafo Noubissie, Ornella	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
Wakim, Béchara	Effects of Interactions and Dataset Size in Neural Networks and Other Machine Learning Approaches CamemBERT word-embedding for Information Extraction in a Biomedical Context
Walker, Kate	Linkage of national clinical datasets without patient identifiers using probabilistic methods
Walker, Sarah	Analysis methods for personalized randomized controlled trial (PRACTical)
Wallisch, Christine	Causal inference in practice: two case studies in nephrology
Walwyn, Rebecca	Under what conditions do open-cohort cluster RCTs provide improvements over conventional designs? A simulation study. Multiple imputation of sporadically-missing continuous time data by Brownian bridge stochastic interpolation
Wan, Fang	Confidence intervals for the treatment effect in the Magnusson-Turnbull adaptive enrichment design
Wang, Xiaoqin	Effects of probiotics on mortality and morbidity in preterm infants: a Bayesian network meta-analysis of randomized and non-randomized studies
Wannamethee, Goya	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Wareham, Nick	Identifying high-risk groups for BMI change using electronic health records from 2.3 million adults
Wason, James	Graphical approaches for the control of generalized error rates Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods
Watanabe, Junko	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
Watanabe, Mariko	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
Wee, Hwee-Lin	Treating ordinal outcomes as continuous quantities: when, why and how.
Wegener, Susanne	Interpretable effect estimates of semi-structured predictors in deep distributional regression models
Weimar, Christian	A comprehensive comparison of approaches for the calibration of probability machines
Weir, Christopher	Bias in evaluation of discrete surrogate outcomes, due to separation: a penalized likelihood solution
Wells, Martin	A Bayesian approach to estimating dynamic models of co-regulated gene expression
Wells, Molly	Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses
Wendel Garcia, Pedro David	The role of the matching algorithm in an analysis of the effect of hemoadsorption in patients with sepsis
Wessa, Michèle	Individualizing deep dynamic models for psychological resilience data
White, Ian	Performance measures for assessing machine learning algorithms in clinical trials Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis Handling missing data for causal effect estimation in longitudinal cohort studies using Targeted Maximum Likelihood Estimation: a simulation study Analysis methods for personalized randomized controlled trial (PRACTical) A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis Phases of methodological research in biostatistics – a proposal to increase transparency and reproducibility
White, Ian	Loop-splitting in network meta-analysis: a new approach to evaluating loop inconsistency
White, Ian R	Dangers of wrongly assuming linearity in a trial sample size calculation when treatment affects rate of change
Wied, Stephanie	Evaluation of the Fill-it-up design to combine data from observational trials and RCTs
Wiemer, Jan	Design optimization and intermediate safety reporting for a randomized controlled biomarker trial
Wiesenfarth, Manuel	Investigating the operating characteristics of clinical trials with borrowing from external data
Wijesuriya, Rushani	Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships
Wiles, Nicola	Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means Estimator
Wilhelm, Adalbert F.X.	Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets
Williamson, Elizabeth	Handling missing data from wearable devices in clinical trials
Williamson, Elizabeth	Multiple imputation in propensity score matching: obtaining correct confidence intervals
Wishart, Justin	Confidence bands of the MRL function in some right censored prevalent cohort studies via the empirical likelihood
Wojciekowski, Stephan	Flexible software framework to compare Bayesian hierarchical models across basket trial designs
Wood, Angela	A comparison of prioritisation tools for CVD risk assessment in UK Biobank: Primary care records versus polygenic risk scores
Wright, George	Biologically-informed development of treatment selection scores from high-dimensional omics data
Wright, Robert	Non-linear and non-additive associations between the pregnancy exposome and birthweight
Wright, Rosalind	Non-linear and non-additive associations between the pregnancy exposome and birthweight
Wu, Hongji	Analysis of competing risks data using restricted mean time lost Impact of competing event in COVID-19 clinical data analysis
Wu, Joseph	Nowcasting the spread of COVID-19 to inform control policies in Hong Kong
Wynants, Laure	COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of covid-19
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Xie, Qian	Biologically-informed development of treatment selection scores from high-dimensional omics data
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Yada, Shinjo	An early-phase clinical trial design in oncology with generalization ability
Yakoub, Mina	Predictors of Multidrug Resistance in Nosocomial Pneumonia among Intensive Care Units’ Patients of a Tertiary Hospital, Egypt
Yamada, Tomomi	One small clinical trial design to provide additional evidence of treatment effects than single-arm trials.
Yamamoto, Hideharu	Biomarker-based Bayesian randomized clinical trial for population finding with efficient reduction of sample size
Yamamoto, Kouji	Joint Modeling of Incomplete Longitudinal Data and Time-to-Event Data
Yamaoka, Kazue	Cluster randomised controlled trial of lifestyle intervention for adolescents’ health using ‘SPRAT’ programme
Yang, Shu	Causal inference for combining RCTs and observational studies: methods comparison and medical application
Yang, Zijing	Analysis of competing risks data using restricted mean time lost Impact of competing event in COVID-19 clinical data analysis
Yano, Yuichiro	Jointly modelling longitudinal heteroscedasticity and a time-to-event outcome
Yao, Zixuan	Bayesian Predictive Model Averaging for Joint Model of Survival and Longitudinal Data: Application to an Immunotherapy Trial
Yap, Christina	Fast-tracking clinical trial innovations – a COVID-19 silver lining A methodological review of phase I designs with late-onset toxicities and incomplete follow-up
Yazdani, Solmaz	Multivariate Analysis of Blood Biomarkers in Amyotrophic Lateral Sclerosis
Yiannoutsos, Constantin T.	Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of failure
Yin, Zhulin	Fast-tracking clinical trial innovations – a COVID-19 silver lining
Yin, Zhulin	A methodological review of phase I designs with late-onset toxicities and incomplete follow-up
Yoon, Hwan-Jin	Application of three level multiple imputation to national surveys
Yuan, Hao	Analysis of competing risks data using restricted mean time lost Impact of competing event in COVID-19 clinical data analysis
Yuen, Kenneth S.L.	Individualizing deep dynamic models for psychological resilience data
Yung, Chee Fu	Conditional and unconditional logistic regression analysis of matched case-control studies of recurrent events
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Zahl, Per-Henrik	The Natural History of Invasive Breast Cancers Detected in the Scandinavian Mammography Screening Programs: A Cohort Study
Zehetmayer, Sonja	Online control of the False Discovery Rate in platform trials
Zeller, Tanja	COMET: an R package to identify sample cross-contamination in whole genome sequencing studies
Zhai, Yue	The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin Evaluating DNA sequencing performance: concordance-discordance model and latent class model
Zhan, Jinran	Comparison of frequentist and Bayesian methods for two-arm borrowing of historical data
Zhang, Jiaxin	Should multiple imputation be stratified by exposure when estimating causal effects via outcome regression?
Zhang, Yajie	Joint contribution of positive and total lymph nodes number in predicting overall survival of esophageal cancer
Zhang, Youyi	Modelling time varying recruitment rates and site activation prediction in multicentre clinical trials: A comparison study.
Zhang, Zhiwei	Biologically-informed development of treatment selection scores from high-dimensional omics data
Zhao, Liang	Impact of model misspecification on model-based bioequivalence
Zhao, Yingdong	Biologically-informed development of treatment selection scores from high-dimensional omics data
Zhao, Zhi	Feature selection in multivariate varying-coefficient mixed models for drug response prediction
Zheng, Haiyan	Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods
Zhu, Jinyu	Confidence intervals for the treatment effect in the Magnusson-Turnbull adaptive enrichment design
Ziegler, Andreas	COMET: an R package to identify sample cross-contamination in whole genome sequencing studies
Ziegler, Andreas	A comprehensive comparison of approaches for the calibration of probability machines
Zohar, Sarah	Seamless Master Protocol with account for correlations within subgroups Bayesian extrapolation from pre-clinical data to human Bayesian joint modeling of a bivariate toxicity for dose-regimens in early phase oncology
Zucknick, Manuela	Feature selection in multivariate varying-coefficient mixed models for drug response prediction
Zwinderman, Koos	Bayesian hierarchical modeling for MedDRA coded adverse events in RCTs
Zylbersztejn, Ania	Target Trial Emulation and Missing Eligibility Data: A study of Palivizumab for child respiratory illness
Zámečník, Stanislav	Kernel density estimation for circular data about COVID-19 in the Czech Republic
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Öhrn, Fredrik	Improved group sequential Holm procedures for testing multiple correlated hypotheses over time
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Šindlář, Vojtěch	Linear statistical models and ridge regression used in shape index calculation on human face
Šinkovec, Hana	To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
Štěpánek, Lubomír	A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test power
Švaikevičienė, Kristina	Challenges of using big health data to identify patterns of anxiety and depression in multimorbid population
Šípek, Antonín	On heuristic detection of maternal-age-related increase of birth defect risk: Experience, issues, alternatives