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Re: st: ROC curve analysis

From   Roger Newson <[email protected]>
To   [email protected]
Subject   Re: st: ROC curve analysis
Date   Mon, 30 May 2005 19:05:15 +0100

At 14:35 30/05/2005, Heather Gold wrote:
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?
Newson (2002) contains a few things about ROC areas and their connection with rank statistics, and also a few further references about ROC curves. A .pdf preprint of this paper can be downloaded from my website (see my signature below), possibly from within Stata by typing

findit params

which will show you the way. By the way, the -senspec- package (downloadable from SSC) can be used to calculate sensitivities and specificities and to store them in variables, so that users can make plots and/or tables of their own.

I hope this helps.

Best wishes



Newson R. 2002. Parameters behind "nonparametric" statistics: Kendall's tau, Somers' D and median differences. The Stata Journal 2(1): 45-64.

Roger Newson
Lecturer in Medical Statistics
Department of Public Health Sciences
Division of Asthma, Allergy and Lung Biology
King's College London

5th Floor, Capital House
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United Kingdom

Tel: 020 7848 6648 International +44 20 7848 6648
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or 020 7848 6605 International +44 20 7848 6605
Email: [email protected]

Opinions expressed are those of the author, not the institution.

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