Power and sample size requirements for GEE analyses of cluster randomized crossover trials.

ABSTRACT: The cluster randomized crossover design has been proposed to improve efficiency over the traditional parallel cluster randomized design, which often involves a limited number of clusters. In recent years, the cluster randomized crossover design has been increasingly used to evaluate the effectiveness of health care policy or programs, and the interest often lies in quantifying the population-averaged intervention effect. In this paper, we consider the two-treatment two-period crossover design, and develop sample size procedures for continuous and binary outcomes corresponding to a population-averaged model estimated by generalized estimating equations, accounting for both within-period and interperiod correlations. In particular, we show that the required sample size depends on the correla

SUBMITTER: Li F 

PROVIDER: S-EPMC6461037 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature