Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84595
Title: Stochastic modelling of the hybrid survival curve
Authors: Tan, Chong It
Li, Jackie
Li, Johnny Siu-Hang
Balasooriya, Uditha
Keywords: Period survival curves
Cohort survival curves
Issue Date: 2016
Source: Tan, C. I., Li, J., Li, J. S.-H., & Balasooriya, U. (2016). Stochastic modelling of the hybrid survival curve. Journal of Population Research, 33(4), 307-331.
Series/Report no.: Journal of Population Research
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.
URI: https://hdl.handle.net/10356/84595
http://hdl.handle.net/10220/41883
ISSN: 1443-2447
DOI: 10.1007/s12546-016-9168-x
Rights: © 2016 Springer Science+Business Media. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Population Research, Springer Science+Business Media. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/s12546-016-9168-x].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:NBS Journal Articles

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