dc.contributor.authorTan, Chong It
dc.contributor.authorLi, Jackie
dc.contributor.authorLi, Johnny Siu-Hang
dc.contributor.authorBalasooriya, Uditha
dc.date.accessioned2016-12-19T06:29:13Z
dc.date.available2016-12-19T06:29:13Z
dc.date.issued2016
dc.identifier.citationTan, 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.en_US
dc.identifier.issn1443-2447en_US
dc.identifier.urihttp://hdl.handle.net/10220/41883
dc.description.abstractIn 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.en_US
dc.format.extent28 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesJournal of Population Researchen_US
dc.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].en_US
dc.subjectPeriod survival curvesen_US
dc.subjectCohort survival curvesen_US
dc.titleStochastic modelling of the hybrid survival curveen_US
dc.typeJournal Article
dc.contributor.schoolCollege of Business (Nanyang Business School)en_US
dc.identifier.doihttp://dx.doi.org/10.1007/s12546-016-9168-x
dc.description.versionAccepted versionen_US


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