power swgee: GEE-based power calculations in stepped wedge cluster randomized trials

Abstract

Stepped wedge cluster randomized trials (SW-CRTs) are increasingly being used to evaluate interventions in medical, public health, educational, and social science contexts. With the longitudinal and crossover natures of an SW-CRT, complex analysis techniques are often needed, which makes appropriately powering SW-CRTs challenging. In this article, we introduce a newly developed SW-CRT power calculator embedded within the power command in Stata. The power calculator assumes a marginal model (that is, generalized estimating equations) for the primary analysis of SW-CRTs, for which other currently available SW-CRT power calculators may not be suitable. The command accommodates complete cross-sectional and closed-cohort designs and includes multilevel correlation structures appropriate for such designs. We discuss the methods and formulas underlying our SW-CRT calculator and provide illustrative examples of the use of power swgee. We provide suggestions about the choice of parameters in power swgee and conclude by discussing areas of future research that may improve the command.

CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs

“…For cohort designs, the block exchangeable correlation structure distinguishes between-period correlations for pairs of individuals, α 2 , from a constant intra-individual correlation for repeated observations, α 3 (Li et al 2018;Preisser et al 2003). On the other hand, the general proportional decay correlation structure (Gallis, Wang, Rathouz, Preisser, Li, and Turner 2022) allows for correlation decay over time, where the intra-individual correlation corr…”