Stochastic modelling of the hybrid survival curve

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 surv...

Full description

Saved in:
Bibliographic Details
Main Authors: Tan, Chong It, Li, Jackie, Li, Johnny Siu-Hang, Balasooriya, Uditha
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/84595
http://hdl.handle.net/10220/41883
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-84595
record_format dspace
spelling sg-ntu-dr.10356-845952023-05-19T06:44:43Z Stochastic modelling of the hybrid survival curve Tan, Chong It Li, Jackie Li, Johnny Siu-Hang Balasooriya, Uditha Nanyang Business School Period survival curves Cohort survival curves 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. Accepted version 2016-12-19T06:29:13Z 2019-12-06T15:47:58Z 2016-12-19T06:29:13Z 2019-12-06T15:47:58Z 2016 Journal Article 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. 1443-2447 https://hdl.handle.net/10356/84595 http://hdl.handle.net/10220/41883 10.1007/s12546-016-9168-x en Journal of Population Research © 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]. 28 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Period survival curves
Cohort survival curves
spellingShingle Period survival curves
Cohort survival curves
Tan, Chong It
Li, Jackie
Li, Johnny Siu-Hang
Balasooriya, Uditha
Stochastic modelling of the hybrid survival curve
description 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.
author2 Nanyang Business School
author_facet Nanyang Business School
Tan, Chong It
Li, Jackie
Li, Johnny Siu-Hang
Balasooriya, Uditha
format Article
author Tan, Chong It
Li, Jackie
Li, Johnny Siu-Hang
Balasooriya, Uditha
author_sort Tan, Chong It
title Stochastic modelling of the hybrid survival curve
title_short Stochastic modelling of the hybrid survival curve
title_full Stochastic modelling of the hybrid survival curve
title_fullStr Stochastic modelling of the hybrid survival curve
title_full_unstemmed Stochastic modelling of the hybrid survival curve
title_sort stochastic modelling of the hybrid survival curve
publishDate 2016
url https://hdl.handle.net/10356/84595
http://hdl.handle.net/10220/41883
_version_ 1770567395624091648