
doi: 10.1002/sim.7416
pmid: 28762525
This paper deals with the general topic of subgroup analysis in late‐stage clinical trials with emphasis on multiplicity considerations. The discussion begins with multiplicity issues arising in the context of exploratory subgroup analysis, including principled approaches to subgroup search that are applied as part of subgroup exploration exercises as well as in adaptive biomarker‐driven designs. Key considerations in confirmatory subgroup analysis based on one or more pre‐specified patient populations are reviewed, including a survey of multiplicity adjustment methods recommended in multi‐population phase III clinical trials. Guidelines for interpretation of significant findings in several patient populations are introduced to facilitate the decision‐making process and achieve consistent labeling across development programs. Copyright © 2017 John Wiley & Sons, Ltd.
clinical trials, Clinical Trials as Topic, multiplicity adjustment, Endpoint Determination, influence and interaction conditions, Guidelines as Topic, Statistics, Nonparametric, Applications of statistics to biology and medical sciences; meta analysis, Decision Theory, Research Design, Sample Size, exploratory subgroup analysis, confirmatory subgroup analysis, Humans, Biomarkers
clinical trials, Clinical Trials as Topic, multiplicity adjustment, Endpoint Determination, influence and interaction conditions, Guidelines as Topic, Statistics, Nonparametric, Applications of statistics to biology and medical sciences; meta analysis, Decision Theory, Research Design, Sample Size, exploratory subgroup analysis, confirmatory subgroup analysis, Humans, Biomarkers
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