Likelihood inference in generalized linear mixed models with two components of dispersion using data cloning

DOI10.1016/j.csda.2012.04.008zbMath1255.62210OpenAlexW2049231142MaRDI QIDQ1927207

Mahmoud Torabi

Publication date: 30 December 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.2012.04.008

zbMATH Keywords

efficiencyrandom effectsvariance componentsBayesian computationhierarchical models

Mathematics Subject Classification ID

Related Items (7)

Likelihood inference in generalized linear mixed measurement error models ⋮ Likelihood Inference for Spatial Generalized Linear Mixed Models ⋮ Spatio–temporal modeling for disease mapping using CAR and B‐spline smoothing ⋮ Estimating multiple-membership logit models with mixed effects: indirect inference versus data cloning ⋮ Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas ⋮ The subset argument and consistency of MLE in GLMM: answer to an open problem and beyond ⋮ Kim, Y., Choi, Y.-K., and Emery, S. (2013), “Logistic Regression With Multiple Random Effects: A Simulation Study of Estimation Methods and Statistical Packages,” The American Statistician, 67, 171-182

Uses Software

• R
• WinBUGS
• dclone

Cites Work

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• Random-Effects Models for Longitudinal Data
• A standard error for the estimated state vector of a state-space model
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• Estimation in generalized linear models with random effects
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• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• Bias Correction in Generalized Linear Mixed Models With Multiple Components of Dispersion
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• Small Area Inference for Binary Variables in the National Health Interview Survey
• Approximate Inference in Generalized Linear Mixed Models
• On quasi‐likelihood inference in generalized linear mixed models with two components of dispersion
• Bias correction in generalised linear mixed models with a single component of dispersion
• Estimability and Likelihood Inference for Generalized Linear Mixed Models Using Data Cloning

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