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The phenomenon of overdispersion arises when categorical or count data exhibit variability larger than expected. Multinomial data commonly demonstrate this phenomenon when the counts arise from correlated or cluster observations. There are several ways of analyzing overdispersed multinomial...
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approach. The Bayes-type test statistics, which are derived as the marginal likelihood ratio with appropriate prior …'s Score tests. Test Statistics are derived for changes at unknown times in the parameters of a logistic regression model …
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We propose a general framework for performing full Bayesian analysis under linear inequality parameter constraints. The proposal is motivated by the BioCycle Study, a large cohort study of hormone levels of healthy women where certain well-established linear inequality constraints on the...
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