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A discrete time split population survival (cure) model

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  • Stephen Jenkins

    (University of Essex)

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.

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  • Stephen Jenkins, 2001. "A discrete time split population survival (cure) model," United Kingdom Stata Users' Group Meetings 2001 10, Stata Users Group.
    • Handle: RePEc:boc:usug01:10
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