Confidence intervals for the selected population in randomized trials that adapt the population enrolled.

ABSTRACT: It is a challenge to design randomized trials when it is suspected that a treatment may benefit only certain subsets of the target population. In such situations, trial designs have been proposed that modify the population enrolled based on an interim analysis, in a preplanned manner. For example, if there is early evidence during the trial that the treatment only benefits a certain subset of the population, enrollment may then be restricted to this subset. At the end of such a trial, it is desirable to draw inferences about the selected population. We focus on constructing confidence intervals for the average treatment effect in the selected population. Confidence interval methods that fail to account for the adaptive nature of the design may fail to have the desired coverage probability.

SUBMITTER: Rosenblum M 

PROVIDER: S-EPMC5018400 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature