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Re: st: Question on ROC analysis


From   Megan Deitchler <mdeitchl@aed.org>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Question on ROC analysis
Date   Mon, 23 May 2011 17:29:06 -0400

Thanks - this helped.  I can now graph what I want but am still having
trouble calculating the AUC.

I am trying to use Roger Newson's somersd package for this, using the
c transformation option.  I receive the following error:

       tidotforsomersd():  3499  tidottree() not found
                 <istmt>:     -  function returned error

Any suggestions?

On Thu, May 19, 2011 at 3:19 PM, Steven Samuels <sjsamuels@gmail.com> wrote:
>
> Roger Newson's -senspec- from SSC should do what you want.
>
> Steve
> sjsamuels@gmail.com
>
> On May 19, 2011, at 2:46 PM, Megan Deitchler wrote:
>
> I am interested in carrying out a simple two variable ROC analysis.
>
> I want to assess how well low values of my x variable predict a low value of
> my y variable (e.g. y variable with cutoff less than 200).
>
> However, if I understand correctly, the conventional ROC analysis in Stata
> creates the ROC by using incrementally increasing values of x to predict y.
>
> How do I adapt the analysis so that the AUC result I obtain will
> be consistent with the relationship I am interested in quantifying?
>
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