Diagnosis of Random‐Effect Model Misspecification in Generalized Linear Mixed Models for Binary Response

DOI10.1111/j.1541-0420.2008.01103.xzbMath1165.62351OpenAlexW2045093820WikidataQ51870488 ScholiaQ51870488MaRDI QIDQ3636977

Xianzheng Huang

Publication date: 30 June 2009

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2008.01103.x

zbMATH Keywords

random effectsgeneralized linear mixed modelsclustered binary responses

Mathematics Subject Classification ID

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

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Cites Work

• Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies
• Misspecified maximum likelihood estimates and generalised linear mixed models
• Semiparametric regression for clustered data
• A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
• A Multivariate Two-Sample Mean Test for Small Sample Size and Missing Data
• Consequences and Detection of Misspecified Nonlinear Regression Models
• Variance component testing in generalised linear models with random effects
• A Smooth Nonparametric Estimate of a Mixing Distribution Using Mixtures of Gaussians
• Type I and Type II Error Under Random‐Effects Misspecification in Generalized Linear Mixed Models
• A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribution
• Maximum Likelihood Estimation of Misspecified Models