Detecting random-effects model misspecification via coarsened data

DOI10.1016/j.csda.2010.06.012zbMath1247.62194OpenAlexW2055819614MaRDI QIDQ452664

Xianzheng Huang

Publication date: 15 September 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.06.012

zbMATH Keywords

Kullback-Leibler divergencegeneralized linear mixed modelsnonlinear mixed models

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02) Diagnostics, and linear inference and regression (62J20)

Related Items

Pooling Designs for Outcomes under a Gaussian Random Effects Model, Generalized linear models with clustered data: fixed and random effects models, Random-intercept misspecification in generalized linear mixed models for binary responses, Residual analysis of linear mixed models using a simulation approach, Goodness-of-fit tests of generalized linear mixed models for repeated ordinal responses, Link misspecification in generalized linear mixed models with a random intercept for binary responses

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