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RE: st: RE: discrim command


From   SR Millis <srmillis@mindspring.com>
To   statalist@hsphsun2.harvard.edu
Subject   RE: st: RE: discrim command
Date   Mon, 10 May 2004 11:59:35 -0700 (PDT)

Discriminant function analysis may perform better than
logistic regression in the presence of multivariate
normality and homogeneity of covariance matrices.

Scott Millis

--- Nick Cox <n.j.cox@durham.ac.uk> wrote:
> It would be interesting to know
> under which circumstances this would
> happen. Experts?
>
> Nick
> n.j.cox@durham.ac.uk
>
> Ricardo Ovaldia
> >
> > I originally used -logistic- to generate a
> > "discriminant" function and that worked well (70%
> > correct classification). However, I wanted to see
> if I
> > could do better with a traditional MUV
> discriminant
> > procedure.
>
> > --- Nick Cox <n.j.cox@durham.ac.uk> wrote:
> > > Perhaps you can re-formulate your problem
> > > as a logit regression problem. Numerous
> > > papers in the literature over 30 years
> > > or so have argued that a logit framework
> > > often works as well or better than discriminant
> > > analysis.
>
> *
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>
>
>


=====
Scott R Millis, PhD, MEd, ABPP (CN & RP)
Director, Office of Clinical Trials
Kessler Medical Rehabilitation Research & Education Corp
1199 Pleasant Valley Way
West Orange, NJ  07052

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