Alternating logistic regressions with improved finite sample properties

DOI10.1111/biom.12614zbMath1372.62082OpenAlexW2536196343WikidataQ50561695 ScholiaQ50561695MaRDI QIDQ5283335

John S. Preisser, Jamie Perin

Publication date: 21 July 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12614

zbMATH Keywords

generalized estimating equationsdental cariessmall samplescluster randomized trialsmarginal association modelingunderage drinking

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Cites Work

• Longitudinal data analysis using generalized linear models
• A Covariance Estimator for GEE with Improved Small‐Sample Properties
• Orthogonalized Residuals for Estimation of Marginally Specified Association Parameters in Multivariate Binary Data
• Deletion diagnostics for alternating logistic regressions
• Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Deletion diagnostics for generalised estimating equations
• Modelling multivariate binary data with alternating logistic regressions
• 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
• Regression analysis of correlated binary data: some small sample results for the estimating equation approach
• A Comparison of Two Bias‐Corrected Covariance Estimators for Generalized Estimating Equations
• Some contributions to contingency-type bivariate distributions

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