Analyzing Binary Outcome Data with Small Clusters: A Simulation Study

DOI10.1080/03610918.2012.744044zbMath1333.62028OpenAlexW2086427986MaRDI QIDQ5418906

Ying Xu, Chun Fan Lee, Yin Bun Cheung

Publication date: 30 May 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.744044

zbMATH Keywords

generalized estimating equationrandom-effects logistic regressionsmall clustersbinary outcome datastandard logistic regressionwithin-cluster-resampling method

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Applications of statistics to social sciences (62P25) Point estimation (62F10) Bootstrap, jackknife and other resampling methods (62F40)

Cites Work

• Longitudinal data analysis using generalized linear models
• Within-cluster resampling
• Multiple Outputation: Inference for Complex Clustered Data by Averaging Analyses from Independent Data
• A Bayesian Approach for Joint Modeling of Cluster Size and Subunit-Specific Outcomes
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Maximum Likelihood Estimation of Misspecified Models

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