[R] net classification improvement?

[Essers, Jonah]

Thanks for the reply. I think more the issue is whether it can be applied
to cross-sectional data. This I'm not sure. This method is heavily cited
in the New England Journal of Medicine, but thus far I've only seen it
used with longitudinal data.

On 1/16/12 10:23 PM, "Kevin E. Thorpe" <kevin.thorpe at utoronto.ca> wrote:

>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