COMPARING THE AREAS UNDER 2 OR MORE CORRELATED RECEIVER OPERATING CHARACTERISTIC CURVES - A NONPARAMETRIC APPROACH
COMPARING THE AREAS UNDER 2 OR MORE CORRELATED RECEIVER OPERATING CHARACTERISTIC CURVES - A NONPARAMETRIC APPROACH
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DOI：
10.2307/2531595
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发表时间：
1988-09-01
期刊：
影响因子：
1.9
通讯作者：
CLARKEPEARSON, DI
中科院分区：
文献类型：
--
作者：
DELONG, ER;DELONG, DM;CLARKEPEARSON, DI
随着新测试的开发和市场推广，评估和比较诊断测试性能的方法变得越来越重要。当测试基于位于连续或分级尺度上的观察变量时，可以通过使用接收器工作特性(ROC)曲线来评估测试的整体价值。该曲线是通过改变用于确定观察变量的哪些值将被视为异常的切点，然后绘制针对相应的假阳性率而产生的敏感度来构建的。当根据对相同个体进行的测试构建两条或更多经验曲线时，对曲线之间差异的统计分析必须考虑到数据的相关性。本文提出了一种分析相关ROC曲线下面积的非参数方法，该方法利用生成U统计量的理论来生成估计协方差矩阵。
Methods of evaluating and comparing the performance of diagnostic tests are of increasing importance as new tests are developed and marketed. When a test is based on an observed variable that lies on a continuous or graded scale, an assessment of the overall value of the test can be made through the use of a receiver operating characteristics (ROC) curve. The curve is constructed by varying the cutpoint used to determine which values of the observed variable will be considered abnormal and then plotting the resulting sensitivities against the corresponding false positive rates. When two or more empirical curves are constructed based on tests performed on the same individuals, statistical analysis on differences between curves must take into account the correlated nature of the data. This paper presents a nonparametric approach to the analysis of areas under correlated ROC curves, by using the theory on generated U-statistics to generate an estimated covariance matrix.