Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations.

ABSTRACT: Randomized trials seek efficient treatment effect estimation within target populations, yet scientific interest often also centers on subpopulations. Although there are typically too few subjects within each subpopulation to efficiently estimate these subpopulation treatment effects, one can gain precision by borrowing strength across subpopulations, as is the case in a basket trial. While dynamic borrowing has been proposed as an efficient approach to estimating subpopulation treatment effects on primary endpoints, additional efficiency could be gained by leveraging the information found in secondary endpoints. We propose a multisource exchangeability model (MEM) that incorporates secondary endpoints to more efficiently assess subpopulation exchangeability. Across simulation studies, our

SUBMITTER: Wolf JM 

PROVIDER: S-EPMC11498028 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature