A Bayesian Approach for Joint Modeling of Cluster Size and Subunit-Specific Outcomes
DOI10.1111/1541-0420.00062zbMath1210.62023OpenAlexW2050207700WikidataQ47401900 ScholiaQ47401900MaRDI QIDQ3079145
Zhen Chen, Jean Harry, David B. Dunson
Publication date: 1 March 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1541-0420.00062
probit modelfactor analysismultiple outcomesinformative cluster sizecontinuation ratiodevelopmental toxicitylitter sizerandom-length data
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Related Items (29)
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