In addition to confidence intervals for differences between ROC areas, you
can also define confidence intervals for the mean of multiple ROC areas (and
the mean of multiple differences between ROC areas) from a number of
independent studies, using -parmest- and -metaparm-. There are a lot of
other things the -somersd- package can do, and these are discussed in the
manual -somersd.pdf-, distributed with the package as an ancillary file.
I hope this helps.
Roger
Andrei Malinovschi wrote:
Thank you also Roger for suggesting using the
-somersd-,-parmest- and -metaparm- packages. I suppose
that you meant an approach as the one recommended in
http://www.stata.com/statalist/archive/2002-12/msg00001.html
where you pointed as potential advantage the fact that
it is possible to calculate CI for the difference
between 2 ROC curves (compared to -roccomp-). More
comments or other advantages to have in mind?
--
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: [email protected]
Website: http://phs.kcl.ac.uk/rogernewson/
Opinions expressed are those of the author, not the institution.
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