A solution to separation for clustered binary data

DOI10.1177/1471082X1001200102zbMath1420.62315OpenAlexW2332841762MaRDI QIDQ5193326

Marc Aerts, José Cortiñas Abrahantes

Publication date: 10 September 2019

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x1001200102

zbMATH Keywords

Bayesian analysislogistic modelconditional modelsclustered binary datapenalized likelihood approachseparation issues

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (1)

Quasi-complete separation in random effects of binary response mixed models

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