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Re: st: ROC curve analysis
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.
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
Do you happen to know any good tutorials on ROC curve analysis, something
beyond the basics?
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.
Newson R. 2002. Parameters behind "nonparametric" statistics: Kendall's
tau, Somers' D and median differences. The Stata Journal 2(1): 45-64.
Lecturer in Medical Statistics
Department of Public Health Sciences
Division of Asthma, Allergy and Lung Biology
King's College London
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