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

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  • Yen, Amy Ming-Fang
  • Chen, Hsiu-Hsi

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.

Suggested Citation

  • Yen, Amy Ming-Fang & Chen, Hsiu-Hsi, 2013. "Stochastic models for multiple pathways of temporal natural history on co-morbidity of chronic disease," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 570-588.
    • Handle: RePEc:eee:csdana:v:57:y:2013:i:1:p:570-588
    DOI: 10.1016/j.csda.2012.07.009
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    References listed on IDEAS

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    1. Ira M. Longini & M. Elizabeth Halloran, 1996. "A Frailty Mixture Model for Estimating Vaccine Efficacy," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(2), pages 165-173, June.
    2. Tony H. H. Chen & H. S. Kuo & M. F. Yen & M. S. Lai & L. Tabar & S. W. Duffy, 2000. "Estimation of Sojourn Time in Chronic Disease Screening Without Data on Interval Cases," Biometrics, The International Biometric Society, vol. 56(1), pages 167-172, March.
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    Cited by:

    1. Saligrama Agnihothri & Leon Cui & Mohammad Delasay & Balaraman Rajan, 2020. "The value of mHealth for managing chronic conditions," Health Care Management Science, Springer, vol. 23(2), pages 185-202, June.

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