[R] calibration curve for cph()

[Frank Harrell]

David Winsemius wrote:
> 
> A combination of Predict (your newdata), cut2, and the plotting function
> of your choice ought to suffice. But thought that cross-validation was an
> option. Not at console at the moment (just off airplane.)
> 
> Sent from my iPhone
> 
> On Aug 15, 2011, at 5:26 PM, array chip <arrayprofile at yahoo.com>
> wrote:
> 
>> is there a R function that produces calibration curve on an independetn
>> data automatically, just like what calibrate() does on the training data
>> itself?
>> 
>> Thanks
>> 
>> John
>> 
>> From: Comcast <dwinsemius at comcast.net>
>> To: array chip <arrayprofile at yahoo.com>
>> Cc: "r-help at r-project.org" <r-help at r-project.org>
>> Sent: Monday, August 15, 2011 2:04 PM
>> Subject: Re: [R] calibration curve for cph()
>> 
>> Build a prediction function using  'Function' that gets applied to set2.
>> Calibrate and validate.
>> 
>> -- 
>> David
>> 
>> Sent from my iPhone
>> 
>> On Aug 15, 2011, at 11:31 AM, array chip <arrayprofile at yahoo.com>
>> wrote:
>> 
>> > Hi, the calibrate.cph() function in rms package generate calibration
>> curve for Cox model on the same dataset where the model was derived using
>> bootstrapping or cross-validation. If I have the model built on dataset
>> 1, and now I want to produce a calibration curve for this model on an
>> independent dataset 2, how can I do that?
>> > 
>> > Thanks
>> > 
>> > John
>> > 
>> >    [[alternative HTML version deleted]]
>> > 
>> > ______________________________________________
>> > R-help at 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.
>> 
>> 
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at 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.
> 


-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
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