--------------------------------------------------------------------------------
The ROC area is a special case of Harrell's c index, which still exists
for non-binary ordinal outcomes. Confidence intervals for Harrell' c
indices and their differences can be calculated using the -somersd-
package, downloadable from SSC using the -ssc- command in Stata. The
on-line help contains some references, some of which can be downloaded
from the Stata Journal website at
http://www.stata-journal.com/
and others of which can be downloaded from my website (see my signature
below).
I hope this helps.
Best wishes
Roger
Roger B Newson BSc MSc DPhil
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group
National Heart and Lung Institute
Imperial College London
Royal Brompton Campus
Room 33, Emmanuel Kaye Building
1B Manresa Road
London SW3 6LR
UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected]
Web page: http://www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/pop
genetics/reph/
Opinions expressed are those of the author, not of the institution.
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of
[email protected]
Sent: 12 February 2009 21:30
To: [email protected]
Subject: st: ROC curves for ordinal outcomes
Hi,
I'm trying to compare 3 screening tests. My out come variable is not
binary. My outcome variable is ordinal
with 8 categories. Is there a way in STATA to produce a ROC curve to
compare these tests for ordinal outcomes?
Or is it possible to do a ordinal regression and show the results as ROC
curves?
I would really appreciate your reply.
Thanks
VJ
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