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Estimation of error rate in multiple group logistic discrimination. the approximate leaving-one-out method
Authors:E. Lesaffre  J.L. Willems  A. Albert
Affiliation:1. Department of Medical Informatics University of Leuven , Leuven, 3000, Belgium;2. Department of Medical Informatics , University of Liége , Liegé, 4000, Belgium
Abstract:We present an approximate leaving-one-out technique for estimating the error rate in logistic discrimination. The new measure is based on the one-step approximation of a(i), the maximum likelihood estimate of the parameter vector based on the sample without the ith case. Some inequalities between the resubstitution error rate, the approximate and exact leaving-one-out error rates for the multiple group logistic model are investigated. Monte-Carlo simulations assess the adequacy of the approximate leaving-one-out method as an estimate of the actual error rate. The usefulness of this approach is demonstrated by means of two medical examples.
Keywords:discriminant analysis  leaving-one-out error rate  logistic models  one-step approximation  resubstitution error rate
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