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- W2227703669 abstract "In this work, a Bayesian semiparametric multivariate model is fitted to study data related to in-hospital and 60-day survival probabilities of patients admitted to a hospital with ST-elevation myocardial infarction diagnosis. We consider a hierarchical generalized linear model to predict survival probabilities and a process indicator (time of intervention). Poisson-Dirichlet process priors, generalizing the well-known Dirichlet process, are considered for modeling the random-effect distribution of the grouping factor which is the hospital of admission." @default.
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- W2227703669 date "2013-11-08" @default.
- W2227703669 modified "2023-10-14" @default.
- W2227703669 title "A Semiparametric Bayesian Multivariate Model for Survival Probabilities After Acute Myocardial Infarction" @default.
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- W2227703669 doi "https://doi.org/10.1007/978-3-319-02084-6_31" @default.
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