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

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 S...

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Veröffentlicht in:The Stata journal Jg. 22; H. 4; S. 811
Hauptverfasser: Gallis, John A, Wang, Xueqi, Rathouz, Paul J, Preisser, John S, Li, Fan, Turner, Elizabeth L
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 01.12.2022
Schlagworte:
statistical power
marginal models
power swgee
group randomized trials
st0001
generalized estimating equations
ISSN:1536-867X
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
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ISSN:1536-867X
DOI:10.1177/1536867x221140953