Sounds just perfect. Thanks for taking the time!
[EMAIL PROTECTED] wrote:
>The question of discriminating among three or more events has been
>successfully tackled by Brian Scurfield. He extended typical
>two-event ROC analysis to n-event ROC analysis (n>2), where results
>are expressed as n-dimentional ROC hypersurfaces, and sensitivity can
>be understood in terms of hypervolumes under the hypersurfaces. He
>also developed a new type of distribution-free sensitivity measure
>based on an information theory analysis of n-event discrimination
>tasks. The measure gives an overall measure of detectability among n
>events, and also allows sensible comparisons to be made between
>n-event tasks and (n-1)-event tasks, say.
>
>Scurfield illustrated his findings using the 3-event case, so if
>you're specifically interested in that case, check out his papers:
>
>Scurfield, B.K. (1996) "Multiple-event forced-choice tasks in the
>theory of signal detectability", Journal of Mathematical Psychology,
>40(3), 253-269
>
>Scurfield, B.K. (1998) "Generalization of the theory of signal
>detectability to m-dimensional n-event forced-choice tasks", Journal
>of Mathematical Psychology, 42(1), 5-31.
>
>The JMP abstracts used to be available online, but I don't know if
>they still are.
>
>Also, there was an independent development of some of this material by
>Douglas Mossman. He had a paper in Medical Decision Making in either
>1998 or 1999 entitled "Three-way ROCs". Sorry, can't remember the
>volume.
>
>
>Hope this helps,
>
>Vit D.
>
>
--
Manni
===========================================================================
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT COMPLAIN TO
THE POSTMASTER about these messages because the postmaster has no
way of controlling them, and excessive complaints will result in
termination of the list.
For information about this list, including information about the
problem of inappropriate messages and information about how to
unsubscribe, please see the web page at
http://jse.stat.ncsu.edu/
===========================================================================
