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

Author

Listed:
  • 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)

Programming Language

Stata

Abstract

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

Suggested Citation

  • Hannah Bower & Therese M-L Andersson & Michael J. Crowther & Paul Lambert, 2020. "STMT: Stata module to model multiple timescales using flexible parametric survival models on the log-hazard scale," Statistical Software Components S458849, Boston College Department of Economics, revised 24 Jun 2022.
    • Handle: RePEc:boc:bocode:s458849
    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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/stmt.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/stmt.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/stmt_pred.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/stmt_postestimation.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/l/lstmt.mlib
    File Function: Mata object library
    Download Restriction: no
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