Assessing efficacy in important subgroups in confirmatory trials: An example using Bayesian dynamic borrowing.

ABSTRACT: Assessment of efficacy in important subgroups - such as those defined by sex, age, race and region - in confirmatory trials is typically performed using separate analysis of the specific subgroup. This ignores relevant information from the complementary subgroup. Bayesian dynamic borrowing uses an informative prior based on analysis of the complementary subgroup and a weak prior distribution centred on a mean of zero to construct a robust mixture prior. This combination of priors allows for dynamic borrowing of prior information; the analysis learns how much of the complementary subgroup prior information to borrow based on the consistency between the subgroup of interest and the complementary subgroup. A tipping point analysis can be carried out to identify how much prior weight needs to

SUBMITTER: Best N 

PROVIDER: S-EPMC8247867 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature