Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Stochastic modelling of the hybrid survival curve

Simple item page
dc.contributor.authorTan, Chong It
dc.contributor.authorLi, Jackie
dc.contributor.authorLi, Johnny Siu-Hang
dc.contributor.authorBalasooriya, Uditha
dc.date.accessioned2016-10-06T03:52:12Z
dc.date.available2016-10-06T03:52:12Z
dc.date.issued2016-05-03
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_AU
dc.identifier.issn1443-2447en_AU
dc.identifier.urihttp://hdl.handle.net/1885/109169
dc.provenancehttp://www.sherpa.ac.uk/romeo/issn/1443-2447/..."Author's post-print on any open access repository after 12 months after publication" from SHERPA/RoMEO site (as at 7/10/16). The final publication is available at Springer via http://dx.doi.org/10.1007/s12546-016-9168-x.
dc.publisherSpringer Verlagen_AU
dc.rights© 2016 Springer Science+Business Media Dordrecht.en_AU
dc.sourceJournal of Population Researchen_AU
dc.subjectPeriod survival curvesen_AU
dc.subjectCohort survival curvesen_AU
dc.subjectRectangularisationen_AU
dc.subjectStochastic modelsen_AU
dc.subjectTime-varying parametersen_AU
dc.titleStochastic modelling of the hybrid survival curveen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Access
local.contributor.affiliationTan, Chong It, The Australian National Universityen_AU
local.contributor.authoruidU1007386en_AU
local.identifier.doi10.1007/s12546-016-9168-xen_AU
local.publisher.urlhttp://link.springer.com/en_AU
local.type.statusAccepted Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Tan_Stochastic_Modelling_2016.pdf
Size:
385.58 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
884 B
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS