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. IevaSecondo
;
2014
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.
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