A note on the comparison of pseudo-likelihood and generalized estimating equations for marginally specified odds ratio models with exchangeable association structure

DOI10.1080/00949659808811924zbMath0940.62065OpenAlexW2036752150MaRDI QIDQ4253262

Helena Geys, Geert Molenberghs, Stuart R. Lipsitz

Publication date: 17 July 2000

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659808811924

zbMATH Keywords

maximum likelihoodclustered binary dataDale modelmarginal odds ratio

Mathematics Subject Classification ID

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

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Cites Work

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• Longitudinal data analysis using generalized linear models
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data
• Pseudo-likelihood inference for clustered binary data
• Modelling multivariate binary data with alternating logistic regressions
• Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses
• Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution
• A likelihood-based method for analysing longitudinal binary responses
• Logistic Regression for Correlated Binary Data