A semiparametric Bayesian approach to binomial distribution logistic mixed-effects models for longitudinal data

DOI10.1080/00949655.2021.1998500OpenAlexW3214435871MaRDI QIDQ5083326

Yuan-Ying Zhao, Xing-De Duan, Jiang Du, Deng-Ke Xu

Publication date: 22 June 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1998500

zbMATH Keywords

Dirichlet processGibbs samplermodel comparisonlongitudinal binomial dataPólya-gamma mixture

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• DPpackage
• BayesDA

Cites Work

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• Bayes Factors
• Equation of State Calculations by Fast Computing Machines
• Modelling heterogeneity in longitudinal binomial responses by generalized estimating equations
• Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
• Monte Carlo sampling methods using Markov chains and their applications

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