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Statistics in Medicine|January 25, 2023
Propensity score matching after multiple imputation when a confounder has missing dataCorentin Ségalas, Clémence Leyrat, James R Carpenter, et al.BMC Medicine|September 28, 2024
Unleashing the full potential of digital outcome measures in clinical trials: eight questions that need attentionMia S Tackney, James R Carpenter, Sofía S VillarBMC Medical Research Methodology|November 28, 2008
Undue reliance on I(2) in assessing heterogeneity may misleadGerta Rücker, Guido Schwarzer, James R Carpenter, et al.Journal of Biopharmaceutical Statistics|October 22, 2013
Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputationJames R Carpenter, James H Roger, Michael G KenwardEpidemiology (Cambridge, Mass.)|March 17, 2015
Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputationMilena Falcaro, Ula Nur, Bernard Rachet, et al.American Journal of Epidemiology|October 15, 2020
Common Methods for Handling Missing Data in Marginal Structural Models: What Works and WhyClémence Leyrat, James R Carpenter, Sébastien Bailly, et al.Statistics in Medicine|January 24, 2025
Reference-Based Multiple Imputation for Longitudinal Binary DataSuzie Cro, Matteo Quartagno, Ian R White, et al.Biostatistics (Oxford, England)|June 8, 2014
Improving upon the efficiency of complete case analysis when covariates are MNARJonathan W Bartlett, James R Carpenter, Kate Tilling, et al.Clinical Epidemiology|November 10, 2025
Mind the Gaps: Literature Survey Reveals Shortcomings in Handling Missing Data in Clinical Practice Research Datalink (CPRD), a UK Primary Care Health Records DatabaseEsther Tolani, Miriam Rachel Carpenter, Irene Petersen, et al.Pharmaceutical Statistics|July 17, 2019
Reference-based sensitivity analysis for time-to-event dataAndrew Atkinson, Michael G Kenward, Tim Clayton, et al.Pageof 13