Selection of Working Correlation Structure in Weighted Generalized Estimating Equation Method for Incomplete Longitudinal Data

DOI10.1080/03610918.2012.698772zbMath1333.62180OpenAlexW2071501561MaRDI QIDQ5417901

Masahiko Gosho, Isao Yoshimura, Chikuma Hamada

Publication date: 23 May 2014

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

Full work available at URL: https://doi.org/10.1080/03610918.2012.698772

zbMATH Keywords

efficiencycriterionworking correlation structureweighted generalized estimating equationincomplete longitudinal data

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Generalized linear models (logistic models) (62J12)

Related Items (3)

Marginal M-quantile regression for multivariate dependent data ⋮ Working correlation structure selection in generalized estimating equations ⋮ Model selection in the weighted generalized estimating equations for longitudinal data with dropout

Cites Work

• Longitudinal data analysis using generalized linear models
• Criterion for the Selection of a Working Correlation Structure in the Generalized Estimating Equation Approach for Longitudinal Balanced Data
• Akaike's Information Criterion in Generalized Estimating Equations
• Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data
• Inference and missing data
• Efficiency of Regression Estimates for Clustered Data
• A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations
• On the Accuracy of Efficiency of Estimating Equation Approach
• Generalized Estimating Equations
• Mixed Models
• A Caveat Concerning Independence Estimating Equations with Multivariate Binary Data

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