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Stochastic modelling of the hybrid survival curve

Author

Listed:
  • Chong It Tan

    (Australian National University)

  • Jackie Li

    (Macquarie University)

  • Johnny Siu-Hang Li

    (University of Waterloo)

  • Uditha Balasooriya

    (Nanyang Technological University)

Abstract

In this paper, building upon the idea of cross-sectional survival probabilities developed by Brouard (Espaces Popul Soc 2(14–15):157–168, 1986), we propose using stochastic models to study the evolution of a new type of survival curves called hybrid survival curve. We find that the three-factor survival model provides a better model fitting than the two-factor survival model. Furthermore, the three time-varying parameters are highly interpretable and their respective trends can be used as an indicator for the rectangularisation of survival curve. On top of that, we demonstrate how the time-varying parameters can be extrapolated into the future to obtain projected hybrid survival curves.

Suggested Citation

  • Chong It Tan & Jackie Li & Johnny Siu-Hang Li & Uditha Balasooriya, 2016. "Stochastic modelling of the hybrid survival curve," Journal of Population Research, Springer, vol. 33(4), pages 307-331, December.
    • Handle: RePEc:spr:joprea:v:33:y:2016:i:4:d:10.1007_s12546-016-9168-x
    DOI: 10.1007/s12546-016-9168-x
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    References listed on IDEAS

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    Cited by:

    1. Jacie Jia Liu, 2021. "A Study on Link Functions for Modelling and Forecasting Old-Age Survival Probabilities of Australia and New Zealand," Risks, MDPI, vol. 9(1), pages 1-18, January.

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