In this paper we present a Bayesian model to analyze sequences of hospitalizations of patients affected by chronic heart disease, focusing not only on the sequence but also on the times between two next events; considering covariates and time, the model is able to identify the most relevant factors influencing the evolution.

Analysis of Hospitalizations of Patients Affected by Chronic Heart Disease / A. Parodi, F. Ieva, A. Guglielmi, R. Argiento - In: The Contribution of Young Researchers to Bayesian Statistics / [a cura di] F. Ieva, E. Lanzarone. - Springer Proceedings in Mathematics & Statistics. - [s.l] : Springer International Publishing Switzerland, 2014 Jan. - ISBN 978-3-319-02083-9. - pp. 155-159 (( Intervento presentato al 1. convegno BAYSM 2013 - first BAyesian Young Statistician Meeting tenutosi a CNR IMATI (Milan, Italy) nel 2013 [10.1007/978-3-319-02084-6_30].

Analysis of Hospitalizations of Patients Affected by Chronic Heart Disease

F. Ieva
Secondo
;
2014-01

Abstract

In this paper we present a Bayesian model to analyze sequences of hospitalizations of patients affected by chronic heart disease, focusing not only on the sequence but also on the times between two next events; considering covariates and time, the model is able to identify the most relevant factors influencing the evolution.
Settore SECS-S/01 - Statistica
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/247965
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