Bayesian hierarchical modeling for categorical longitudinal data from sedation measurements

DOI10.1155/2013/579214zbMath1307.92236OpenAlexW1993632499WikidataQ30660915 ScholiaQ30660915MaRDI QIDQ2262240

Erol Terzi, Mehmet Ali Cengiz

Publication date: 16 March 2015

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/579214

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Posterior predictive \(p\)-values
• Multivariate Bayesian Variable Selection and Prediction
• Bayesian Measures of Model Complexity and Fit

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