Conditional independence of multivariate binary data with an application in caries research

DOI10.1016/j.csda.2006.11.021zbMath1161.62426OpenAlexW2068230635MaRDI QIDQ1019957

Alejandro Jara, Dominique Declerck, Emmanuel Lesaffre, María José García-Zattera

Publication date: 29 May 2009

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

Full work available at URL: https://doi.org/10.1016/j.csda.2006.11.021

zbMATH Keywords

conditional independencemultivariate binary datamultivariate probit modellatent variable representation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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Uses Software

• R
• boa
• QSIMVN

Cites Work

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• Bayesian model determination for multivariate ordinal and binary data
• A model for a multivariate binary response with covariates based on compatible conditionally specified logistic regressions
• What is a statistical model? (With comments and rejoinder).
• On conditional independence and the relationship between sufficiency and invariance under the Bayesian point of view
• Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
• Bayesian Multivariate Logistic Regression
• Causal diagrams for empirical research
• Analysis of multivariate probit models
• Association of Random Variables, with Applications