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Re: st: ROC curve analysis


From   Heather Gold <heg2001@med.cornell.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: ROC curve analysis
Date   Mon, 30 May 2005 09:35:50 -0400

Of course, you're right, Ricardo. There seemed to be one "optimal" point when looking at the graph, and that's what point I wanted to identify. Thanks for the tip on detail option -- I'll try that.

Do you happen to know any good tutorials on ROC curve analysis, something beyond the basics?

Regards,
Heather
At 07:44 PM 5/27/2005, you wrote:

Dear Heather,

What do you mean by optimal when using a ROC curve?
Rarely the highest sensitivity and highest specificity
occur at the same point, and in some cases the highest
sensitivity may occur at a point where the specificity
is very low. So even if you can display all the
possible cut point, you would still need to decide if
you rather have higher sensitivity or specificity.

That said, you can use the option ­detail- option to
display the cut points.

Regards,
Ricardo.

--- Heather Gold <heg2001@med.cornell.edu> wrote:

>
> Dear List Members-
>
> I've run some -roctab- commands to estimate the area
> under the ROC curve,
> and I've also graphed the curves. I'm wondering if
> there's a way in Stata
> to find the optimal cutpoint on the ROC curve. I can
> visualize it to some
> degree, but is there a way to find the highest point
> on the curve, a way
> that's already programmed in Stata? I haven't found
> anything in the archives...
>
> Thanks for your help,
> Heather
>
>
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>


Ricardo Ovaldia, MS
Statistician
Oklahoma City, OK



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Heather Taffet Gold, PhD
Assistant Professor
Department of Public Health
Weill Medical College of Cornell University
411 E. 69th Street
New York, New York 10021

E: heg2001@med.cornell.edu
P: (212) 746-1245
F: (212) 746-8544


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