首页> 外文期刊>American Journal of Applied Mathematics and Statistics >Bivariate Test for Testing the EQUALITY of the Average Areas under Correlated Receiver Operating Characteristic Curves (Test for Comparing of AUC’s of Correlated ROC Curves)
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Bivariate Test for Testing the EQUALITY of the Average Areas under Correlated Receiver Operating Characteristic Curves (Test for Comparing of AUC’s of Correlated ROC Curves)

机译:相关变量接收器工作特性曲线下的平均区域均等性检验的双变量检验(相关ROC曲线的AUC比较检验)

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摘要

Methodology developed for comparing correlated ROC curves are mainly based on nonparametric methods. These nonparametric methods have several disadvantages. In this paper the authors propose an asymptotic bivariate test for comparing pairs of AUCs for independent data based on the Dorfman and Alf maximum likelihood approach. The properties of the test are examined by using simulation studies. The method is illustrated on an example of angiogram results from Sri Lanka. The test applied to the example found that there was a significant difference in the predictive power of three different cut-offs examined.
机译:用于比较相关ROC曲线的方法主要基于非参数方法。这些非参数方法有几个缺点。在本文中,作者提出了一种渐近二元检验,用于基于Dorfman和Alf最大似然法比较独立数据的AUC对。通过模拟研究检查了测试的属性。斯里兰卡的血管造影结果示例说明了该方法。应用于示例的测试发现,所检查的三个不同临界值的预测能力存在显着差异。

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