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SPLITPOPSURV: Stata module to estimate split-population (cure / mover-stayer) survival models

Author

Listed:
  • Nobutaka Fukuda

    (Tohoku University)

Programming Language

Abstract

splitpopsurv fits a split-population (also called a "cure" or "mover-stayer") survival model by maximum likelihood. It combines an accelerated failure-time regression for event timing among "movers" (the H_regression equation, on timevar and indepvars) with a logistic regression on the probability of belonging to a structurally immune "stayer" population (the P_regression equation, on cure()). Five baseline distributions are available for the timing part.

Suggested Citation

  • Nobutaka Fukuda, 2026. "SPLITPOPSURV: Stata module to estimate split-population (cure / mover-stayer) survival models," Statistical Software Components S459898, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459898
    Note: This module should be installed from within Stata by typing "ssc install splitpopsurv". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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    File URL: http://fmwww.bc.edu/repec/bocode/s/splitpopsurv.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/s/splitpopsurv.sthlp
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    File URL: http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_d0_ggamma.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_lf_gamma.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_lf_loglogistic.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_lf_lognormal.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_lf_weibull.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_p.ado
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