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Bayesian semiparametric logit models are fitted to grouped data related to in‐hospital survival outcome of patients hospitalized with an ST‐segment elevation myocardial infarction diagnosis. Dependent Dirichlet process priors are considered for modelling the random‐effects distribution of the grouping factor (hospital of admission), to provide a cluster analysis of the hospitals. The clustering structure...
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