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

generalized estimating equations group randomized trials marginal models power swgee st0001 statistical power

Journal

The Stata journal
ISSN: 1536-867X
Titre abrégé: Stata J
Pays: United States
ID NLM: 101514848

Informations de publication

Date de publication:
Dec 2022
Historique:
pmc-release: 05 01 2024
entrez: 27 3 2023
pubmed: 28 3 2023
medline: 28 3 2023
Statut: ppublish

Résumé

Stepped wedge cluster randomized trials are increasingly being used to evaluate interventions in medical, public health, educational, and social science 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 complete cross-sectional and closed-cohort designs, and includes multilevel correlation structures appropriate for such designs. We discuss the methods and formulae 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 which may improve the program.

Identifiants

pubmed: 36968149
doi: 10.1177/1536867x221140953
pmc: PMC10035664
mid: NIHMS1864819
doi:

Types de publication

Journal Article

Langues

eng

Pagination

811-841

Subventions

Organisme : Patient-Centered Outcomes Research Institute
ID : ME-2019C1-16196
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH120649
Pays : United States

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Auteurs

John A Gallis (JA)

Department of Biostatistics, Duke University, Duke Global Health Institute, Durham, NC.

Xueqi Wang (X)

Department of Biostatistics, Duke University, Duke Global Health Institute, Durham, NC.

Paul J Rathouz (PJ)

Department of Population Health, University of Texas at Austin, Dell Medical School, Austin, TX.

John S Preisser (JS)

Department of Biosttistics, University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Chapel Hill, NC.

Fan Li (F)

Department of Biostatistics, Yale School of Public Health, Center for Methods in Implementation, Prevention Science, New Haven, CT.

Elizabeth L Turner (EL)

Department of Biostatistics, Duke University, Duke Global Health Institute, Durham, NC.

Classifications MeSH