A discrete time split population survival (cure) model

Stephen Jenkins

No 10, United Kingdom Stata Users' Group Meetings 2001 from Stata Users Group

Abstract: In the standard survival model, the risk of failure is non-zero for all cases. A split-population (or cure) survival model relaxes this assumption and allows an (estimable) fraction of cases never to experience the event. This presentation reports on an implementation of a discrete time (or grouped survival data) version of this model, using ml method d0, and the problems with implementing a 'robust' option.

Date: 2001-04-25
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/RePEc/usug2001/UKSUGspj.pdf (application/pdf)
http://fmwww.bc.edu/repec/bocode/s/spsurv.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/spsur_ll.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/spsurv.hlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:usug01:10

Access Statistics for this paper

More papers in United Kingdom Stata Users' Group Meetings 2001 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().