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Re: st: Question on ROC analysis
From
Megan Deitchler <[email protected]>
To
[email protected]
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 <[email protected]> wrote:
>
> Roger Newson's -senspec- from SSC should do what you want.
>
> Steve
> [email protected]
>
> 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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>
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*
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