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From |
"Carlo Lazzaro" <carlo.lazzaro@tin.it> |

To |
<statalist@hsphsun2.harvard.edu> |

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

Date |
Thu, 25 Sep 2008 18:54:57 +0200 |

Dear Michael, at a very first glance, what hits the eyes is the adjusted probability of being censoring sometimes above the usual upper constraint. How can it be? I should have missed something in your assumptions. Kind Regards, Carlo -----Messaggio originale----- Da: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Michael McCulloch Inviato: giovedì 25 settembre 2008 17.56 A: Statalist Oggetto: st: Estimating the probability of censoring Hello, I'm seeking guidance on a series of commands I've written to estimate the probability of being censored. Might anyone be able to offer commentary as to whether I've done this correctly? The resulting unadjusted probability of censoring ranges from 0-1, while the adjusted probability goes above 1. sysuse cancer.dta, clear gen id = _n // generate individual IDs stset studytime, failure(died==0) // note that total person-time is 744 *estimate the unadjusted probability of censoring sts gen cens = s *estimate the adjusted probability of censoring stcox drug age, nohr predict coeff_cens, xb // predicts linear coefficients of censoring gen p_cens = exp(coeff_cens) // adjusted probability of time-to-censoring *lists the results list id drug age died cens p_cens in 40/48, clean noobs 40 3 50 0 .58476475 .8601028 41 3 55 1 .58476475 .9429854 42 3 57 1 .51166915 .9783332 43 3 48 0 .51166915 .8290267 44 3 56 0 .34111277 .9604967 45 3 60 1 .34111277 1.033855 46 3 62 0 .22740851 1.072609 47 3 48 0 .11370426 .8290267 48 3 52 0 0 .8923438 -- Best wishes, Michael McCulloch Pine Street Foundation 124 Pine St., San Anselmo, CA 94960-2674 Tel: (415) 407-1357 Fax: (415) 485-1065 mcculloch@pinestreetfoundation.org www.pinestreetfoundation.org * * 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/

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

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

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