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

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: Yale School of Public Health
Paul J. Rathouz: University of Texas at Austin
John S. Preisser: University of North Carolina at Chapel Hill
Fan Li: Yale School of Public Health
Elizabeth L. Turner: Duke University

Stata Journal, 2022, vol. 22, issue 4, 811-841

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 equa- tions) 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 correla- tion 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.

Keywords: power swgee; stepped wedge cluster randomized trials; staggered rollout designs; statistical power; group randomized trials; marginal models; generalized estimating equations (search for similar items in EconPapers)
Date: 2022
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj22-4/st0692/
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0692 link to article purchase

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:22:y:2022:i:4:p:811-841

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

DOI: 10.1177/1536867X221140953

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().