Borrowing information across patient subgroups in clinical trials, with application to a paediatric trial.

ABSTRACT:

Background

Clinical trial investigators may need to evaluate treatment effects in a specific subgroup (or subgroups) of participants in addition to reporting results of the entire study population. Such subgroups lack power to detect a treatment effect, but there may be strong justification for borrowing information from a larger patient group within the same trial, while allowing for differences between populations. Our aim was to develop methods for eliciting expert opinions about differences in treatment effect between patient populations, and to incorporate these opinions into a Bayesian analysis.

Methods

We used an interaction parameter to model the relationship between underlying treatment effects in two subgroups. Elicitation was used to obtain clinical opinions on th

SUBMITTER: Turner RM 

PROVIDER: S-EPMC8858505 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature