A) Please do not highjack threads. Post new topics for new questions.
B) Calibration plots are very easy for either logistic regression or Cox models when using the calibrate function in either Harrell's rms or Design packages. (Not sure about how well they play with survfit objects, but you ought to be able to apply the same methods.)
-- David. On Mar 9, 2010, at 12:52 PM, paaventhan jeyaganth wrote:
Dear All, How can i do the bootstrap and calibration plot after surival analysis , i don't know how to do it after that please help me. Thanks here is my syntex library(survival) mfit <- survfit(Surv(days, status == 1)~drug, data = melanom) #how can i do the bootstra #Cox Calibration regression test #and the calibration plot paaveen _________________________________________________________________ [[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.
David Winsemius, MD West Hartford, CT ______________________________________________ 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.