Classification accuracy and cut point?selection
Classification accuracy and cut point?selection
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DOI：
10.1002/sim.4509
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发表时间：
2012-10-15
影响因子：
2
通讯作者：
Liu, Xinhua
中科院分区：
文献类型：
--
作者：
Liu, Xinhua
在生物医学研究和实践中，定量测试或生物标志物经常用于诊断或筛查目的，在定量测量上建立一个分界点，以帮助进行二进制分类。本文介绍了一种基于Youden指数和最接近(0，1)准则的阈值选取方法。将评价二分法分类精度的一致性概率定义为可能切割点的目标函数。采用非参数方法寻找使目标函数最大的最优切割点。仿真研究表明，该方法具有较好的效果。使用一项对砷引起的皮肤损伤的真实研究数据，我们将该方法应用于血液砷水平的测量，选择一个临界点作为警告阈值。版权所有(C)2012 John Wiley&Sons，Ltd.
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 (C) 2012 John Wiley & Sons, Ltd.