Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials.

ABSTRACT: Cluster randomized trials (CRTs) refer to experiments with randomization carried out at the cluster or the group level. While numerous statistical methods have been developed for the design and analysis of CRTs, most of the existing methods focused on testing the overall treatment effect across the population characteristics, with few discussions on the differential treatment effect among subpopulations. In addition, the sample size and power requirements for detecting differential treatment effect in CRTs remain unclear, but are helpful for studies planned with such an objective. In this article, we develop a new sample size formula for detecting treatment effect heterogeneity in two-level CRTs for continuous outcomes, continuous or binary covariates measured at cluster or individual leve

SUBMITTER: Yang S 

PROVIDER: S-EPMC7948251 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature