[R] net classification improvement?

[Kevin E. Thorpe]

On 01/16/2012 08:10 PM, Essers, Jonah wrote:
> Greetings,
>
> I have generated several ROC curves and would like to compare the AUCs.
> The data are cross sectional and the outcomes are binary. I am testing
> which of several models provide the best discrimination. Would it be most
> appropriate to report AUC with 95% CI's?
>
> I have been looking in to the "net reclassification improvement" (see
> below for reference) but thus far I can only find a version in Hmisc
> package which requires survival data. Any idea what the best approach is
> for cross-sectional data?

I believe that the function in Hmisc that does this will also work on 
binary data.

>
> Thanks
>
> Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS. Evaluating the
> added predictive ability of a new marker: from area under the ROC curve to
> reclassification and beyond. Stat Med 2008;27:157-172
>


-- 
Kevin E. Thorpe
Biostatistician/Trialist,  Applied Health Research Centre (AHRC)
Li Ka Shing Knowledge Institute of St. Michael's
Assistant Professor, Dalla Lana School of Public Health
University of Toronto
email: kevin.thorpe at utoronto.ca  Tel: 416.864.5776  Fax: 416.864.3016