title: Variable selection in canonical discriminant analysis for family studies.
abstract: In family studies, canonical discriminant analysis can be used to find linear combinations of phenotypes that exhibit high ratios of between-family to within-family variabilities. But with large numbers of phenotypes, canonical discriminant analysis may overfit. To estimate the predicted ratios associated with the coefficients obtained from canonical discriminant analysis, two methods are developed; one is based on bias correction and the other based on cross-validation. Because the cross-validation is computationally intensive, an approximation to the cross-validation is also developed. Furthermore, these methods can be applied to perform variable selection in canonical discriminant analysis. The proposed methods are illustrated with simulation studies and applications to two real examples.
authors.affiliation: Statistics and Evaluation Center, American Cancer Society, Atlanta, Georgia 30303, USA.
authors.forename: Man
authors.initials: M
authors.lastname: Jin
authors.forename: Yixin
authors.initials: Y
authors.lastname: Fang
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D016002:Discriminant Analysis; D004812:Epidemiologic Methods; D008040:Genetic Linkage / Q000235:genetics*; D020022:Genetic Predisposition to Disease / Q000453:epidemiology* / Q000235:genetics*; D014644:Genetic Variation / Q000235:genetics*; D006801:Humans; D015233:Models, Statistical