I have been working on fitting Cox model for prediction by using rms package. I want to measure model's calibartion and discrimination. Discrimination was measured by using validate() in rms, Dxy can be transferred to Harrell's c index. But in this way, I cannot get 95%CI of c index. How can I do this in R? And by the way, what value should be in c index to present the model's well?
Calibration was using calibrate() in rms, but I cannot get the calibration plot which presented the concorance of predicted and observed events in Cox model. How can I do this calibration plot of Cox model in R. -- View this message in context: http://r.789695.n4.nabble.com/Discrimination-and-calibration-of-Cox-model-tp4367927p4367927.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
