Optimal designs using generalized estimating equations in cluster randomized crossover and stepped wedge trials.

ABSTRACT: Cluster randomized crossover and stepped wedge cluster randomized trials are two types of longitudinal cluster randomized trials that leverage both the within- and between-cluster comparisons to estimate the treatment effect and are increasingly used in healthcare delivery and implementation science research. While the variance expressions of estimated treatment effect have been previously developed from the method of generalized estimating equations for analyzing cluster randomized crossover trials and stepped wedge cluster randomized trials, little guidance has been provided for optimal designs to ensure maximum efficiency. Here, an optimal design refers to the combination of optimal cluster-period size and optimal number of clusters that provide the smallest variance of the treatment ef

SUBMITTER: Liu J 

PROVIDER: S-EPMC12626022 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature