Discriminant function analysis may perform better than
logistic regression in the presence of multivariate
normality and homogeneity of covariance matrices.
Scott Millis
--- Nick Cox <[email protected]> wrote:
> It would be interesting to know
> under which circumstances this would
> happen. Experts?
>
> Nick
> [email protected]
>
> 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 <[email protected]> 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.
>
> *
> * For searches and help try:
> *
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> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
>
>
=====
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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