R help - Jul 2009 - How to add 95% confidence intervals in the calibration plot?

Dear experts:

I am a newbie to R. Recently, I try to make prediction models with R and the
Design library.
I have read Prof. Harrell's excellent book. But I did not quite understand.
I have two problems about the validation and calibration of prediction
models:
1. Can someone explain the results outputted by the validate() function? How
to get 95% of c-value of validate?
2. How to add 95% ci in the calibration plot?

Yao Zhu
Department of Urology
Fudan University Shanghai Cancer Center

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zhu yao wrote:
> Dear experts:
> 
> I am a newbie to R. Recently, I try to make prediction models with R and
the
> Design library.
> I have read Prof. Harrell's excellent book. But I did not quite
understand.
> I have two problems about the validation and calibration of prediction
> models:
> 1. Can someone explain the results outputted by the validate() function?
How
> to get 95% of c-value of validate?
validate does not provide that confidence interval, unfortunately.
> 2. How to add 95% ci in the calibration plot?
That is not provided except for survival models.

Next time please include your code so we can see what model you are using.

Thanks
Frank
> 
> Yao Zhu
> Department of Urology
> Fudan University Shanghai Cancer Center
> 
> 	[[alternative HTML version deleted]]
> 
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> 

-- 
Frank E Harrell Jr   Professor and Chair           School of Medicine
                      Department of Biostatistics   Vanderbilt University