Stochastic models for multiple pathways of temporal natural history on co-morbidity of chronic disease

Amy Ming-Fang Yen and Hsiu-Hsi Chen

Computational Statistics & Data Analysis, 2013, vol. 57, issue 1, 570-588

Abstract: Chronic diseases frequently co-occur in individuals. Susceptibility to co-morbidity, the temporal sequence and the transition rates governing the development of co-morbid diseases are often hidden or partially observable. To tackle these thorny issues we developed a series of co-morbidity stochastic models with latent variables to estimate the true proportions of susceptibility, temporal sequence, and transition rates. We begin with a bivariate co-morbidity model for two chronic diseases, then extend to a trivariate co-morbidity model for three chronic diseases, and to a generalized high-order co-morbidity model to accommodate more than three chronic diseases. To illustrate our approach we fitted the proposed model with data from a population-based health check-up for hypertension, diabetes mellitus (DM), and overweight in Matsu.

Keywords: Chronic disease; Co-morbidity; Latent variable; Markov process (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:57:y:2013:i:1:p:570-588

DOI: 10.1016/j.csda.2012.07.009

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