STSURVIMPUTE: Stata module for flexible imputation of censored survival data

Patrick Royston ()
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Patrick Royston: MRC Clinical Trials Unit

Statistical Software Components from Boston College Department of Economics

Abstract: stsurvimpute singly imputes censored observation-times using a parametric survival model. Available basic parametric models are Weibull, log-logistic and lognormal; also supported are Royston-Parmar flexible parametric models, implemented by stpm2. Variables in varlist constitute a prognostic model that is used for predicting individual imputed survival times. Such a model should make the imputations more accurate than using only the overall distribution.

Language: Stata
Requires: Stata version 10
Keywords: survival; censoring; parametric model; Weibull; log-logistic; lognormal; Royston-Parmar (search for similar items in EconPapers)
Date: 2011-01-22
Note: This module should be installed from within Stata by typing "ssc install stsurvimpute". 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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http://fmwww.bc.edu/repec/bocode/s/stsurvimpute.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/stsurvimpute.sthlp help file (text/plain)

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