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Statistics in Medicine|February 20, 2022
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram dataFabrizio Maturo, Rosanna VerdeStatistics in Medicine|February 11, 2022
Training and capacity building in medical statistics in Sub-Saharan Africa: Impact of the London School of Hygiene & Tropical Medicine MSc in Medical Statistics, 1969 to 2021James R Carpenter, Jim Todd, Kathy Baisley, et al.Statistics in Medicine|February 16, 2022
Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trialsHaodong Li, Sonali Rosete, Jeremy Coyle, et al.Statistics in Medicine|February 9, 2022
A shared-parameter location-scale mixed model to link the responsivity in self-initiated event reports and the event-contingent Ecological Momentary AssessmentsQianheng Ma, Robin J Mermelstein, Donald HedekerStatistics in Medicine|February 18, 2022
Assessing reproducibility of high-throughput experiments in the case of missing dataRoopali Singh, Feipeng Zhang, Qunhua LiStatistics in Medicine|January 22, 2022
Response adaptive intervention allocation in stepped-wedge cluster randomized trialsMichael J Grayling, James M S Wason, Sofía S VillarStatistics in Medicine|February 15, 2022
Inference about ratios of age-standardized rates with sampling errors in the population denominators for estimating both ratesJiming Jiang, Yuanyuan Li, Thuan Nguyen, et al.Statistics in Medicine|January 26, 2022
Combining information to estimate adherence in studies of pre-exposure prophylaxis for HIV prevention: Application to HPTN 067James P Hughes, Brian D Williamson, Chloe Krakauer, et al.Statistics in Medicine|January 27, 2022
Approximate likelihood-based estimation method of multiple-type pathogen interactions: An application to longitudinal pneumococcal carriage dataIrene Man, Johannes A Bogaards, Kishan Makwana, et al.Statistics in Medicine|January 31, 2022
Sensitivity to missing not at random dropout in clinical trials: Use and interpretation of the trimmed means estimatorAudinga-Dea Hazewinkel, Jack Bowden, Kaitlin H Wade, et al.Pageof 1,052