STRCS: Stata module to estimate flexible parametric survival models on the log hazard scale

Hannah Bower (), Michael J. Crowther () and Paul Lambert ()
Additional contact information
Hannah Bower: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet
Michael J. Crowther: Karolinska Institutet
Paul Lambert: University of Leicester

Statistical Software Components from Boston College Department of Economics

Abstract: strcs fits flexible parametric survival models on the log hazard scale. strcs can be used with single- or multiple-record, or single- or multiple-failure st data. The models are similar to those fitted on the log cumulative hazard scale using the stpm2 command but the spline function estimates the log hazard rather than the log cumulative hazard. The models are fitted using Gauss-Legendre quadrature numerical integration. Time-dependent effects and relative survival models can also be fitted using the strcs command. Many post-estimation commands generate predictions from the models fitted using strcs.

Language: Stata
Requires: Stata version 13.1
Keywords: survival; parametric; flexible (search for similar items in EconPapers)
Date: 2015-08-30, Revised 2018-12-04
Note: This module should be installed from within Stata by typing "ssc install strcs". 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.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/strcs.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/strcs.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/strcs_pred.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/strcs_postestimation.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/lstrcs.mlib Mata object library (application/x-stata)

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