Dental research gives rise to data with potentially complex correlation structure assessments of dental caries yields a binary outcome indicating the presence or absence of caries experience for each surface of each tooth in a subjects mouth in addition to this nesting caries outcome exhibit spatial structure among neighboring teeth. Dental caries are a significant public health problem it is a disease with multifactorial causes in sub sahara africa ethiopia is one of the countries with a high record of dental caries this study was to determine the risk factors affecting dental caries using both bayesian and classical approaches the study design was a retrospective cohort study in the period of march 2009 to march . Cleaning teeth was found to have a significant effect on dental caries patients keywords bayesian approach dental caries binary logistic regression mcmc posterior distribution prior density background dental caries is a microbial multifactorial disease that succeeds in destroying the hardest substance of the hu man body the enamel 1. Read bayesian modeling of multivariate spatial binary data with applications to dental caries statistics in medicine on deepdyve the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Garcia zattera et al 2007 analyzed the caries experience data with the conditionally specified logistic regression model joe and liu 1996 and a multivariate probit model chib and greenberg
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