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From |
Michael McCulloch <mm@pinest.org> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Fri, 26 Sep 2008 08:54:14 -0700 |

Antoine Terracol made the brilliant suggestion of estimating probability of censoring, based on -stcox- with specifying the baseline hazard option basechazard(). In studying the manual (v9, page 147) section on the Technical Note for Example 7 of -stcox-, I read that specifying the baseline hazard option requires all variables to make sense if they would be equal to zero (which of course would not be the case with a variable such as age). That makes sense to me.

At the bottom of that page, I read that this can be resolved by subtracting mean age from each subject's age. Is this what is referred to as "centering on age"?

Michael

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/

* * 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/

**References**:**st: R: Estimating the probability of censoring***From:*"Carlo Lazzaro" <carlo.lazzaro@tin.it>

**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>

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

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