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C. Robert Cloninger, MD
Departments of Psychiatry and Genetics Washington University Medical Center PO Box 14109 St Louis, MO 63178 SOREN Sigvardsson, PhD Michael Bohman, MD Department of Child and Youth Psychiatry University of Umeå Umeå, Sweden

Arch Gen Psychiatry. 1982;39(8):974-975.

	Since this article does not have an abstract, we have provided the first 150 words of the full text PDF and any section headings.

-Discriminant analysis is known to be a more robust and useful procedure than our friend Dr Cadoret and his associate seem to appreciate. We welcome the opportunity to correct their misapprehension. Unfortunately, the literature comparing logistic regression and discriminant analysis seems to be written in a form inaccessible to many clinical scientists, so it is useful to clarify here the purposes and situations for which the methods are appropriate.

First, Drs Cadoret and Brier mistakenly claim that logistic regression is superior to discriminant analysis for determining which factors affect the probability of a response. Discriminant analysis is derived strictly if all predictor variables have a multivariate normal distribution, but this requirement need not be strongly satisfied for purposes of factor selection or classification. More specifically, significance tests for selection of relevant risk factors by discriminant analysis are not sensitive to violations of the normality assumption and in practice are equivalent . . . [Full Text PDF of this Article]

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