Covariate adjustment in Bayesian adaptive randomized controlled trials.

ABSTRACT: In conventional randomized controlled trials, adjustment for baseline values of covariates known to be at least moderately associated with the outcome increases the power of the trial. Recent work has shown a particular benefit for more flexible frequentist designs, such as information adaptive and adaptive multi-arm designs. However, covariate adjustment has not been characterized within the more flexible Bayesian adaptive designs, despite their growing popularity. We focus on a subclass of these which allow for early stopping at an interim analysis given evidence of treatment superiority. We consider both collapsible and non-collapsible estimands and show how to obtain posterior samples of marginal estimands from adjusted analyses. We describe several estimands for three common outcome t

SUBMITTER: Willard J 

PROVIDER: S-EPMC10981207 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature