On Wed, Jun 23, 2010 at 9:03 PM, Parminder Mankoo <pkmanko...@gmail.com> wrote: > Hello: > > In the example below (or for a censored data) using survfit.coxph, can > anyone point me to a link or a pdf as to how the probabilities appearing in > bold under "summary(pred$surv)" are calculated? Do these represent > acumulative probability distribution in time (not including censored time)?
predicted survival. Hence the column name "survival"... Cheers Joris > > Thanks very much, > parmee > > *fit <- coxph(Surv(futime, fustat) ~ age, data = ovarian)* > *pred <- survfit(fit, newdata=data.frame(age=60))* > *summary(pred)* > > time n.risk n.event survival std.err lower 95% CI upper 95% CI > 59 26 1 *0.978* 0.0240 0.932 1.000 > 115 25 1 *0.952* 0.0390 0.878 1.000 > 156 24 1 *0.917* 0.0556 0.814 1.000 > 268 23 1 *0.880* 0.0704 0.752 1.000 > 329 22 1 *0.818* 0.0884 0.662 1.000 > 353 21 1 *0.760* 0.0991 0.588 0.981 > 365 20 1 *0.698* 0.1079 0.516 0.945 > 431 17 1 *0.623* 0.1187 0.429 0.905 > 464 15 1 *0.549* 0.1248 0.352 0.858 > 475 14 1 *0.480* 0.1267 0.286 0.805 > 563 12 1 *0.382* 0.1332 0.193 0.757 > 638 11 1 *0.297* 0.1292 0.127 0.697 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Joris Meys Statistical consultant Ghent University Faculty of Bioscience Engineering Department of Applied mathematics, biometrics and process control tel : +32 9 264 59 87 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
