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STAFT: Stata module to fit flexible parametric accelerated failure time models

Author

Listed:
  • Michael J. Crowther

    (Red Door Analytics)

Programming Language

Stata

Abstract

staft fits flexible parametric accelerated failure time models using restricted cubic splines. This can be thought of as an accelerated failure time formulation of the Royston-Parmar model (stpm2). staft can be used with single- or multiple-record or single- or multiple-failure st data. staft extends accelerated failure time models to allow time-dependent acceleration factors, using splines. Post-estimation tools are available.

Suggested Citation

  • Michael J. Crowther, 2017. "STAFT: Stata module to fit flexible parametric accelerated failure time models," Statistical Software Components S458361, Boston College Department of Economics, revised 31 Jul 2017.
    • Handle: RePEc:boc:bocode:s458361
    Note: This module should be installed from within Stata by typing "ssc install staft". 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/staft.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/staft.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/staft_pred.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rcsgen2.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/staft_postestimation.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/l/lstaft.mlib
    File Function: Mata object library
    Download Restriction: no
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