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

Nobutaka Fukuda ()
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Nobutaka Fukuda: Tohoku University

Statistical Software Components from Boston College Department of Economics

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.

Language: Stata
Requires: Stata version 17
Keywords: survival models; mover-stayer; failure time regression (search for similar items in EconPapers)
Date: 2026-09-23
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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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/splitpopsurv.ado
http://fmwww.bc.edu/repec/bocode/s/splitpopsurv.sthlp
http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_d0_ggamma.ado
http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_lf_gamma.ado
http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_lf_loglogistic.ado
http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_lf_lognormal.ado
http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_lf_weibull.ado
http://fmwww.bc.edu/repec/bocode/s/splitpopsurv_p.ado

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