Bayesian Analysis of Clustered Regression Models for Mixed Discrete and Continuous Outcomes – An Application to Depressive Disorder Data

DOI10.1177/0008068319990313zbMATH Open0960.62122OpenAlexW2514973178MaRDI QIDQ4515526

J. N. K. Rao, Atanu Biswas, Kalyan Das

Publication date: 20 May 2001

Published in: Calcutta Statistical Association Bulletin (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/0008068319990313

zbMATH Keywords

Gibbs samplerlatent variablesteratogenesisHamilton depressive disordershortened rapid eye movement

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

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