Bayesian modelling strategies for borrowing of information in randomised basket trials.

ABSTRACT: Basket trials are an innovative precision medicine clinical trial design evaluating a single targeted therapy across multiple diseases that share a common characteristic. To date, most basket trials have been conducted in early-phase oncology settings, for which several Bayesian methods permitting information sharing across subtrials have been proposed. With the increasing interest of implementing randomised basket trials, information borrowing could be exploited in two ways; considering the commensurability of either the treatment effects or the outcomes specific to each of the treatment groups between the subtrials. In this article, we extend a previous analysis model based on distributional discrepancy for borrowing over the subtrial treatment effects ('treatment effect borrowing', TEB)

SUBMITTER: Ouma LO 

PROVIDER: S-EPMC9827857 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature