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...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
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 |