Multivariate Methods for Clustered Binary Data with Multiple Subclasses, with Application to Binary Longitudinal Data

DOI10.2307/2532339zbMath0768.62100OpenAlexW2080835830WikidataQ30869430 ScholiaQ30869430MaRDI QIDQ4696418

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Publication date: 29 June 1993

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2532339

zbMATH Keywords

covariatesbinary longitudinal datamultiple logistic regressionodds ratiosclustered binary dataclustering effectsbeta- binomial mixture modelpolychotomous logistic regression modelrespiratory symptom data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99)

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