Power analyses for stepped wedge designs with multivariate continuous outcomes.

ABSTRACT: Multivariate outcomes are common in pragmatic cluster randomized trials. While sample size calculation procedures for multivariate outcomes exist under parallel assignment, none have been developed for a stepped wedge design. In this article, we present computationally efficient power and sample size procedures for stepped wedge cluster randomized trials (SW-CRTs) with multivariate outcomes that differentiate the within-period and between-period intracluster correlation coefficients (ICCs). Under a multivariate linear mixed model, we derive the joint distribution of the intervention test statistics which can be used for determining power under different hypotheses and provide an example using the commonly utilized intersection-union test for co-primary outcomes. Simplifications under a com

SUBMITTER: Davis-Plourde K 

PROVIDER: S-EPMC9985483 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature