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

Michael J. Crowther ()
Additional contact information
Michael J. Crowther: Red Door Analytics

Statistical Software Components from Boston College Department of Economics

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.

Language: Stata
Requires: Stata version 15.1
Keywords: survival; parametric; flexible; accelerated failure time; single-failure; multiple-failure (search for similar items in EconPapers)
Date: 2017-06-23, Revised 2017-07-31
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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/staft.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/staft.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/staft_pred.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rcsgen2.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/staft_postestimation.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/lstaft.mlib Mata object library (application/x-stata)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458361

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().