Inference in response-adaptive clinical trials when the enrolled population varies over time.

ABSTRACT: A common assumption of data analysis in clinical trials is that the patient population, as well as treatment effects, do not vary during the course of the study. However, when trials enroll patients over several years, this hypothesis may be violated. Ignoring variations of the outcome distributions over time, under the control and experimental treatments, can lead to biased treatment effect estimates and poor control of false positive results. We propose and compare two procedures that account for possible variations of the outcome distributions over time, to correct treatment effect estimates, and to control type-I error rates. The first procedure models trends of patient outcomes with splines. The second leverages conditional inference principles, which have been introduced to analyze r

SUBMITTER: Russo M 

PROVIDER: S-EPMC9021332 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature