STMT: Stata module to model multiple timescales using flexible parametric survival models on the log-hazard scale

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

Statistical Software Components from Boston College Department of Economics

Abstract: stmt fits flexible parametric survival models (Royston-Parmar models) on the log hazard scale where multiple timescales are allowed

Language: Stata
Requires: Stata version 13.1
Keywords: survival; parametric; flexible; log-hazard (search for similar items in EconPapers)
Date: 2020-10-07, Revised 2022-06-24
Note: This module should be installed from within Stata by typing "ssc install stmt". 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/stmt.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/stmt.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/stmt_pred.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/stmt_postestimation.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/lstmt.mlib Mata object library (application/x-stata)

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