Journal
STATISTICS & PROBABILITY LETTERS
Volume 79, Issue 7, Pages 936-942Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.spl.2008.11.019
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Multiple alternative diagnostic tests for one disease are commonly available to clinicians. It is important to use all the good diagnostic predictors simultaneously to establish a new predictor with higher diagnostic accuracy. The linear combinations of multiple predictors are often of particular interest to clinicians. In this paper, we focused on tree-based nonlinear combinations of multiple predictors. A receiver operating characteristic region and its area under the upper boundary were used to evaluate diagnostic utilities for these algorithms. Some mathematical properties were discussed and non-parametric estimation methods were presented. (c) 2008 Elsevier B.V. All rights reserved.
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