Generalized linear mixed models for correlated binary data with \(t\)-link

DOI10.1007/s11222-013-9423-3zbMath1332.62253OpenAlexW1970406209MaRDI QIDQ261007

Denise Reis Costa, Victor Hugo Lachos, Marcos Oliveira Prates

Publication date: 22 March 2016

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-013-9423-3

zbMATH Keywords

EM-algorithmgeneralized linear mixed modelscorrelated binary datatruncated multivariate \(t\)-distribution

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Related Items (4)

EM-Type algorithms for heavy-tailed logistic mixed models ⋮ Heavy-tailed longitudinal regression models for censored data: a robust parametric approach ⋮ Estimation and prediction of a generalized mixed-effects model with \(t\)-process for longitudinal correlated binary data ⋮ Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-\(t\) distribution

Uses Software

• R
• mvtnorm
• geepack
• tlmec
• Cubature

Cites Work

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• On estimation and local influence analysis for measurement errors models under heavy-tailed distributions
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• The effect of link misspecification on binary regression inference
• Convergence of a stochastic approximation version of the EM algorithm
• Analysis of multivariate probit models
• Fast EM-type Implementations for Mixed Effects Models
• Robustness of the student t based M-estimator
• Multivariate Student-t regression models: Pitfalls and inference
• Maximum Likelihood Variance Components Estimation for Binary Data
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• Approximate Inference in Generalized Linear Mixed Models
• Bayesian Analysis of Binary and Polychotomous Response Data
• An efficient MCEM algorithm for fitting generalized linear mixed models for correlated binary data
• Double Hierarchical Generalized Linear Models (With Discussion)

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