STSURVIMPUTE: Stata module for flexible imputation of censored survival data
Abstractstsurvimpute 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.
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Bibliographic InfoSoftware component provided by Boston College Department of Economics in its series Statistical Software Components with number S457225.
Programming language: Stata
Requires: Stata version 10
Date of creation: 22 Jan 2011
Date of revision:
Note: This module should be installed from within Stata by typing "ssc install stsurvimpute". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Web page: http://fmwww.bc.edu/EC/
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For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum).
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