Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials

DOI10.1002/bimj.202100081zbMath1523.62230arXiv2108.11466OpenAlexW4200228376MaRDI QIDQ6068806

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Publication date: 15 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2108.11466

zbMATH Keywords

sample sizeeigenvaluescluster randomized trialsextended nested exchangeable correlationmatrix-adjusted estimating equations (MAEE)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Longitudinal data analysis using generalized linear models
• A Covariance Estimator for GEE with Improved Small‐Sample Properties
• Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
• Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Statistical Power and Sample Size Requirements for Three Level Hierarchical Cluster Randomized Trials
• Sample Size and Power Calculations for Periodontal and Other Studies with Clustered Samples Using the Method of Generalized Estimating Equations
• A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations
• A Note on the Efficiency of Sandwich Covariance Matrix Estimation
• Small Sample Correction for the Variance of GEE Estimators
• Improved standard error estimator for maintaining the validity of inference in cluster randomized trials with a small number of clusters

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