A Numerical Study of PQL Estimation Biases in Generalized Linear Mixed Models Under Heterogeneity of Random Effects

DOI10.1080/03610910802627055zbMath1290.62053OpenAlexW2019697960MaRDI QIDQ3625344

Johan Lim, Woncheol Jang

Publication date: 12 May 2009

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

Full work available at URL: https://doi.org/10.1080/03610910802627055

zbMATH Keywords

heterogeneityvariance componentsgeneralized linear mixed modelspenalized quasi-likelihood estimator

Mathematics Subject Classification ID

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

Related Items (4)

Bayesian \(D\)-optimal designs for the two parameter logistic mixed effects model ⋮ Penalized likelihood approach for simultaneous analysis of survival time and binary longitudinal outcome ⋮ Robustness of Bayesian D-optimal design for the logistic mixed model against misspecification of autocorrelation ⋮ Optimal Estimator for Logistic Model with Distribution‐free Random Intercept

Cites Work

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• Estimation in generalized linear models with random effects
• Effect of Frailty on Marginal Regression Estimates in Survival Analysis
• Laplace's approximation for nonlinear mixed models
• Variance component testing in generalised linear models with random effects
• Bias correction in generalised linear mixed models with a single component of dispersion
• Whither PQL?
• Multivariate survival models induced by genetic frailties, with application to linkage analysis

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