| To: | asanquer@virbac.fr |
|---|---|
| Subject: | Re: ROC curves |
| From: | Frank E Harrell Jr <f.harrell@vanderbilt.edu> |
| Date: | Tue, 05 Sep 2006 07:54:25 -0500 |
| Cc: | s-news <s-news@wubios.wustl.edu> |
| In-reply-to: | <OFE379DDB2.E0F8497C-ONC12571E0.002AE4DE-C12571E0.002B2DCC@virbac.fr> |
| References: | <OFE379DDB2.E0F8497C-ONC12571E0.002AE4DE-C12571E0.002B2DCC@virbac.fr> |
| User-agent: | Thunderbird 1.5.0.5 (X11/20060728) |
asanquer@virbac.fr wrote: Hello,does anyone know a S function which permitted to calculate the area under a ROC curve, as well as its standard error estimate ?thanks for your help. Annaële Sanquer asansuer@virbac.fr library(Hmisc) rcorr.cens(prediction, outcome)This gives you Somers' Dxy rank correlation between prediction and binary outcome and its standard error. Dxy = 2*(C-.5) where C is the ROC area or concordance probability.
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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