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power swgee: GEE-based power calculations in stepped wedge cluster randomized trials.
Gallis, John A; Wang, Xueqi; Rathouz, Paul J; Preisser, John S; Li, Fan; Turner, Elizabeth L.
Afiliação
  • Gallis JA; Department of Biostatistics, Duke University, Duke Global Health Institute, Durham, NC.
  • Wang X; Department of Biostatistics, Duke University, Duke Global Health Institute, Durham, NC.
  • Rathouz PJ; Department of Population Health, University of Texas at Austin, Dell Medical School, Austin, TX.
  • Preisser JS; Department of Biosttistics, University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Chapel Hill, NC.
  • Li F; Department of Biostatistics, Yale School of Public Health, Center for Methods in Implementation, Prevention Science, New Haven, CT.
  • Turner EL; Department of Biostatistics, Duke University, Duke Global Health Institute, Durham, NC.
Stata J ; 22(4): 811-841, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36968149
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2022 Tipo de documento: Article