Use of posterior predictive assessments to evaluate model fit in multilevel logistic regression

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Use of posterior predictive assessments to evaluate model fit in multilevel logistic regression

Assessing the fit of a model is an important final step in any statistical analysis, but this is not straightforward when complex discrete response models are used. Cross validation and posterior predictions have been suggested as methods to aid model criticism. In this paper a comparison is made be...

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Bibliographic Details
Main Authors:	Green, Martin J., Medley, Graham F., Browne, William J.
Format:	Article
Published:	EDP Sciences 2009
Subjects:	model fit posterior predictive assessment mixed predictive assessment cross validation Bayesian multilevel model
Online Access:	https://eprints.nottingham.ac.uk/1273/

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