Improved standard error estimator for maintaining the validity of inference in cluster randomized trials with a small number of clusters
DOI10.1002/bimj.201600182zbMath1422.62328OpenAlexW2581601255WikidataQ38995536 ScholiaQ38995536MaRDI QIDQ5348687
Philip M. Westgate, Whitney P. Ford
Publication date: 18 August 2017
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201600182
generalized estimating equationstest sizecluster randomized trialsempirical standard errorgroup randomized trials
Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12)
Related Items (3)
Uses Software
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
- Generalized estimating equations.
- Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials
- A Note on the Efficiency of Sandwich Covariance Matrix Estimation
- On small‐sample inference in group randomized trials with binary outcomes and cluster‐level covariates
- A Comparison of Two Bias‐Corrected Covariance Estimators for Generalized Estimating Equations
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