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Bayesian Analysis for Longitudinal Binary and Ordinal Data with Missing Values Using Multivariate Probit Model
arts-and-humanitiesbayesian-inferencelife-scienceslongitudinal-datamedicine-and-health-sciencesmissing-data
Longitudinal binary and ordinal outcomes are common in medicine, epidemiology, and the social sciences, where repeated measurements are often subject to missing responses arising from nonresponse, missed visits, or dropout. Bayesian multivariate probit models provide a flexible framework for jointly
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