power swgee: GEE-based power calculations in stepped wedge cluster randomized trials
John A. Gallis
Department of Biostatistics and Bioinformatics
and
Duke Global Health Institute
Duke University
Durham, NC
[email protected]
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Xueqi Wang
Department of Biostatistics
Yale School of Public Health
and
Department of Internal Medicine
Yale School of Medicine
New Haven, CT
[email protected]
|
Paul J. Rathouz
Department of Population Health
Dell Medical School
University of Texas at Austin
Austin, TX
[email protected]
|
John S. Preisser
Department of Biostatistics
Gillings School of Global Public Health
University of North Carolina at Chapel Hill
Chapel Hill, NC
[email protected]
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Fan Li
Department of Biostatistics
and
Center for Methods in Implementation and Prevention Science
Yale School of Public Health
New Haven, CT
[email protected]
|
Elizabeth L. Turner
Department of Biostatistics and Bioinformatics
and
Duke Global Health Institute
Duke University
Durham, NC
[email protected]
|
View all articles by these authors:
John A. Gallis, Xueqi Wang, Paul J. Rathouz, John S. Preisser, Fan Li, Elizabeth L. Turner
View all articles with these keywords:
power swgee, stepped wedge cluster randomized trials, staggered rollout designs, statistical power, group randomized trials, marginal models, generalized estimating equations
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