On Feb 7, 2012, at 11:07 PM, cmh wrote:
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?
Harrell has answered this question several times on this list. It
shouldn't be that difficult to search them out.
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.
There _are_ worked examples on the help pages.
--
David Winsemius, MD
West Hartford, CT
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