A Bayesian analysis of clustered discrete and continuous outcomes

DOI10.1080/02664763.2017.1280003OpenAlexW2579025244MaRDI QIDQ5139002

Dale Bowman, E. Olusȩgun George

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2017.1280003

zbMATH Keywords

Bayesian analysisrisk analysislatent variablesGibbs samplingmixed regression models

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Regression models for analyzing clustered binary and continuous outcomes under an assumption of exchangeability
• Maximum likelihood estimation for mixed continuous and categorical data with missing values
• A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
• Multivariate Clustered Data Analysis in Developmental Toxicity Studies
• Likelihood Models for Clustered Binary and Continuous Out comes: Application to Developmental Toxicology
• Bayesian Analysis of Binary and Polychotomous Response Data
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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