Borrowing of information across patient subgroups in a basket trial based on distributional discrepancy.

ABSTRACT: Basket trials have emerged as a new class of efficient approaches in oncology to evaluate a new treatment in several patient subgroups simultaneously. In this article, we extend the key ideas to disease areas outside of oncology, developing a robust Bayesian methodology for randomized, placebo-controlled basket trials with a continuous endpoint to enable borrowing of information across subtrials with similar treatment effects. After adjusting for covariates, information from a complementary subtrial can be represented into a commensurate prior for the parameter that underpins the subtrial under consideration. We propose using distributional discrepancy to characterize the commensurability between subtrials for appropriate borrowing of information through a spike-and-slab prior, which is pl

SUBMITTER: Zheng H 

PROVIDER: S-EPMC8759447 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature