Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials

DOI10.1111/j.1541-0420.2009.01374.xzbMath1233.62190OpenAlexW2121522612WikidataQ42738432 ScholiaQ42738432MaRDI QIDQ3076059

George F. Borm, S. Teerenstra, Bing Lu, John S. Preisser, Theo van Achterberg

Publication date: 17 February 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2896994

zbMATH Keywords

sample sizepowersandwich estimatorcluster randomizationsmall sample correctiongeneralized estimating equations (GEE)three-level data

Mathematics Subject Classification ID

Related Items (9)

Alternating logistic regressions with improved finite sample properties ⋮ Improved standard error estimator for maintaining the validity of inference in cluster randomized trials with a small number of clusters ⋮ Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials ⋮ Sample size considerations for stepped wedge designs with subclusters ⋮ Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation ⋮ Some design considerations for cluster randomized trials with binary responses ⋮ Comparison of three-level cluster randomized trials using quantile dispersion graphs ⋮ Bayesian optimal cluster designs ⋮ On small‐sample inference in group randomized trials with binary outcomes and cluster‐level covariates

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