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Re: st: ROC curve analysis


From   Roger Newson <roger.newson@kcl.ac.uk>
To   statalist@hsphsun2.harvard.edu
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

Roger


References

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
42 Weston Street
London SE1 3QD
United Kingdom

Tel: 020 7848 6648 International +44 20 7848 6648
Fax: 020 7848 6620 International +44 20 7848 6620
or 020 7848 6605 International +44 20 7848 6605
Email: roger.newson@kcl.ac.uk
Website: http://phs.kcl.ac.uk/rogernewson/

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

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