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Generalized maximally selected statistics.广义最大选择统计量。
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Updated research nosology for HIV-associated neurocognitive disorders.人类免疫缺陷病毒相关神经认知障碍的更新研究分类学
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Three-class ROC analysis--the equal error utility assumption and the optimality of three-class ROC surface using the ideal observer.三类ROC分析——等错误效用假设与使用理想观察者的三类ROC曲面的最优性。
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The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve.使用基于受试者工作特征曲线的两个标准所获得的“最佳”切点的不一致性。
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使用约登指数的广义形式进行三类分类问题的准确性和截断点选择。

Accuracy and cut-off point selection in three-class classification problems using a generalization of the Youden index.

机构信息

Laboratory of Biometry, University of Thessaly, Fytokou Str, N. Ionia, 384 46 Magnesia, Greece.

出版信息

Stat Med. 2010 Dec 10;29(28):2946-55. doi: 10.1002/sim.4044.

DOI:10.1002/sim.4044
PMID:20809485
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2991472/
Abstract

We study properties of the index J(3), defined as the accuracy, or the maximum correct classification, for a given three-class classification problem. Specifically, using J(3) one can assess the discrimination between the three distributions and obtain an optimal pair of cut-off points c(1)<c(2) in the sense that the sum of the correct classification proportions will be maximized. It also serves as the generalization of the Youden index in three-class problems. Parametric and non-parametric approaches for estimation and testing are considered and methods are applied to data from an MRS study on human immunodeficiency virus (HIV) patients.

摘要

我们研究了指数 J(3)的性质,该指数定义为给定的三分类分类问题的准确性或最大正确分类。具体来说,使用 J(3),人们可以评估这三种分布之间的区分程度,并在最优的一对截止点 c(1)<c(2) 中获得最佳分类比例,从而使正确分类比例的总和最大化。它也是三分类问题中 Youden 指数的推广。我们考虑了用于估计和检验的参数和非参数方法,并将这些方法应用于人类免疫缺陷病毒 (HIV) 患者 MRS 研究的数据。