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1015791 
Journal Article 
Classification accuracy and cut point selection 
Liu, X 
In Press 
Yes 
Statistics in Medicine
ISSN: 0277-6715
EISSN: 1097-0258 
31 
23 
2676–2686 
English 
In biomedical research and practice, quantitative tests or biomarkers are often used for diagnostic or screening purposes, with a cut point established on the quantitative measurement to aid binary classification. This paper introduces an alternative to the traditional methods based on the Youden index and the closest-to-(0, 1) criterion for threshold selection. A concordance probability evaluating the classification accuracy of a dichotomized measure is defined as an objective function of the possible cut point. A nonparametric approach is used to search for the optimal cut point maximizing the objective function. The procedure is shown to perform well in a simulation study. Using data from a real-world study of arsenic-induced skin lesions, we apply the method to a measure of blood arsenic levels, selecting a cut point to be used as a warning threshold. Copyright © 2012 John Wiley & Sons, Ltd. 
classification accuracy; concordance probability; cut point; sensitivitiy; specificity 
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