POWER_SWGEE: Stata module to compute power (under both a Z and t distribution) for cluster randomized stepped wedge designs

John A. Gallis (), Xueqi Wang (), Paul J. Rathouz (), John S. Preisser (), Fan Li () and Elizabeth L. Turner ()
Additional contact information
John A. Gallis: Duke University
Xueqi Wang: Duke University
Paul J. Rathouz: University of Texas at Austin
John S. Preisser: University of North Carolina at Chapel Hill
Fan Li: Yale University
Elizabeth L. Turner: Duke University

Statistical Software Components from Boston College Department of Economics

Abstract: Stepped wedge cluster randomized trials (SW-CRTs) are increasingly being used to evaluate interventions in medical and public health contexts. With the longitudinal and crossover nature of a SW-CRT, complex analysis techniques are often needed which makes appropriately powering SW-CRTs challenging. In this paper, we introduce a newly-developed SW-CRT power calculator, embedded within the power command in Stata. The power calculator assumes a marginal model (i.e., generalized estimating equations [GEE]) for the primary analysis of SW-CRTs, for which other currently available SW-CRT power calculators may not be suitable. The program accommodates both cross-sectional and closed-cohort designs, and includes multilevel correlation structures appropriate for such designs.

Language: Stata
Requires: Stata version 15.1
Keywords: randomized trials; stepped wedge cluster; power (search for similar items in EconPapers)
Date: 2021-09-07, Revised 2022-06-10
Note: This module should be installed from within Stata by typing "ssc install power_swgee". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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