[R] Hmisc improveProb() and PredictABEL reclassification () function and continuous NRI
Frank Harrell
f.harrell at vanderbilt.edu
Mon Jul 30 14:56:34 CEST 2012
If you type improveProb at the command line you'll see all the code, which is
quite simple. I'm glad you are not attempting to classify risk as this is
almost always futile.
Frank
Svingen, Gard Frodahl wrote
>
> Dear Sirs.
>
> I am working with the R packages Hmisc and PredictABEL to make NRI
> estimates from my Cox models with and without a specific biomarker.
> According to Pencina et al (Statistics in Medicine 2010, DOI:
> 0.1002/sim.4085 ), a continuous/non-categorical NRI (NRI>0) is to be used
> when there are no obvious reason to categorize risk, such as the risk of
> future cardiovascular events in patients with established cardiovascular
> disease.
>
> My question is therefore: Which value(s) are to be used in the calculation
> of continuous NRI from the output in Hmisc or in PredictABEL? Does
> continuous NRI equal total NRI in the output?
>
>
>
> Yours sincerely
>
> Gard Frodahl T. Svingen
> PhD student
> the University of Bergen
> Bergen, Norway
>
>
> [[alternative HTML version deleted]]
>
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>
-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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