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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 548
Type: Contributed
Date/Time: Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #308821
Title: A Computational Approach to Variable Selection in Canonical Discriminant Analysis
Author(s): Man Jin*+
Companies: Columbia University
Address: 1255 Amsterdam Avenue, New York, NY, 10027,
Keywords: Familial aggregation ; syndromes ; Rayleigh coefficients ; epilepsy
Abstract:

In the genetic analysis of complex traits, it is often useful to define syndromes, constellations of traits that show high familial aggregation. The degree of familial aggregation for a linear combination of traits may be maximized by the Rayleigh coefficient. But with a large number of traits, using data to define a linear combination of traits may lead to over-fitting. Motivated by a family study of epilepsy conducted by Ottman (2006), we consider variable selection procedures to avoid over-fitting. Some approaches is proposed, and the approach is examined in simulation studies and in an application to the epilepsy family data.

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Revised September, 2007