Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

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Multi-State model with nonparametric discrete frailty
Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni, Chris Jackson, Linda Sharples

Last modified: 2018-04-26

Abstract


In this work, we propose a novel semi-Markov multi-state model with a nonparametric discrete frailty and an application to an administrative clinical database about heart failure patients from a Northern Region of Italy. In particu- lar, we investigate a illness-death model with recovery in which the states space is composed by hospital admission, hospital discharge and death, as unique absorbing state. The available data are grouped longitudinal time-to-event data, indeed for each patient we know the times of admission and discharge of all hospitalizations (2005- 2012), the time of death (if it occurs) and the healthcare provider (grouping factor). Thanks to this model, we can investigate the effect of covariates, detect the presence and a pattern of latent populations of healthcare providers across transitions.


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