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SPSURV: Stata module to fit split population survival ('cure') model

Stephen Jenkins ()

Statistical Software Components from Boston College Department of Economics

Abstract: spsurv estimates what economists refer to as split population survival models (Schmidt and Witte, 1989) and biostatisticians refer to as cure models, for the case where survival times are intrinsically discrete or are recorded in grouped form, e.g. in months. (Cf. the continuous time lognormal cure model lncure.) Standard survival models assume that the prob(eventual failure) > 0 for all individuals. By contrast split population models suppose that a proportion never fail. spsurv estimates by ML this proportion together with the parameters characterising the hazard rate for the remainder of the population. For the latter, spsurv estimates a discrete-time proportional hazard (cloglog) model. It is a form of 'mover-stayer' model.

Language: Stata
Requires: Stata version 6.0
Keywords: duration data; survival; mover-stayer (search for similar items in EconPapers)
Date: Written 2001-05-23
Note: This module may be installed from within Stata 7 by typing "ssc install spsurv". Windows users should not attempt to download these files with a web browser.

Downloads: (external link)
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)

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http://repec.org/docs/ssc.php

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Page updated 2008-10-07
Handle: RePEc:boc:bocode:s418601