Sample Size Requirements to Test Subgroup-Specific Treatment Effects in Cluster-Randomized Trials.

ABSTRACT: Cluster-randomized trials (CRTs) often allocate intact clusters of participants to treatment or control conditions and are increasingly used to evaluate healthcare delivery interventions. While previous studies have developed sample size methods for testing confirmatory hypotheses of treatment effect heterogeneity in CRTs (i.e., targeting the difference between subgroup-specific treatment effects), sample size methods for testing the subgroup-specific treatment effects themselves have not received adequate attention-despite a rising interest in health equity considerations in CRTs. In this article, we develop formal methods for sample size and power analyses for testing subgroup-specific treatment effects in parallel-arm CRTs with a continuous outcome and a binary subgroup variable. We poi

SUBMITTER: Wang X 

PROVIDER: S-EPMC11004667 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature