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

Author

Listed:
  • Stephen P. Jenkins

    (London School of Economics and Political Science)

Programming Language

Stata

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.

Suggested Citation

  • Stephen P. Jenkins, 2001. "SPSURV: Stata module to fit split population survival ('cure') model," Statistical Software Components S418601, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s418601
    Note: This module may be installed from within Stata 7 by typing "ssc install spsurv". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/spsurv.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/spsur_ll.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/spsurv.hlp
    File Function: help file
    Download Restriction: no
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