Joint modeling of Multiple Mixed-type Outcomes using Bayesian Semiparametrics: an application to Acute Myocardial Infarction Patients

We propose a Bayesian semiparametric regression model to represent multiple responses, of mixed type, for acute myocardial infarction. We didd a pretty accurate covatiates selection and assume a prior which yields clustering of the hospitals the patients were treated in (angioplasty). We consider data collected in the STEMI Archive, a multicenter observational prospective clinical study planned within the Strategic Program of Regione Lombardia. Data is recorded in a registry collecting clinical and process indicators, outcomes and personal information on patients admitted to all hospitals of Regione Lombardia with STEMI diagnosis.