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From |
Antoine Terracol <terracol@univ-paris1.fr> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: R: Estimating the probability of censoring |

Date |
Thu, 25 Sep 2008 22:35:02 +0200 |

Antoine Terracol wrote:

Michael,

What is calculated here is the survival function at time t conditional on covariates, i.e., in your case, the probability that the subjects time-to-censoring will be greater than t if dying from cancer was not a risk.

Of course, this is because Michael specified . stset studytime, failure(died==0) i.e. he is modelling time-to-censoring instead of the usual time-to-failure. Antoine * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: R: Estimating the probability of censoring***From:*Michael McCulloch <mm@pinest.org>

**References**:**Re: st: R: Estimating the probability of censoring***From:*Michael McCulloch <mm@pinest.org>

**Re: st: R: Estimating the probability of censoring***From:*Antoine Terracol <terracol@univ-paris1.fr>

**Re: st: R: Estimating the probability of censoring***From:*Michael McCulloch <mm@pinest.org>

**Re: st: R: Estimating the probability of censoring***From:*Antoine Terracol <terracol@univ-paris1.fr>

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