Receiver Operating Characteristic Curve in Diagnostic Test Assessment
Receiver Operating Characteristic Curve in Diagnostic Test Assessment
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DOI：
10.1097/jto.0b013e3181ec173d
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发表时间：
2010-09-01
影响因子：
20.4
通讯作者：
Mandrekar, Jayawant N.
中科院分区：
文献类型：
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作者：
Mandrekar, Jayawant N.
在二元预测器的情况下，可以使用灵敏度和特异度的测量来评估诊断测试的性能。然而，在许多情况下，我们遇到在连续或顺序尺度上测量的预测器。在这种情况下，期望在预测器变量的可能切点的范围内评估诊断测试的性能。这是通过接收器操作特征(ROC)曲线实现的，该ROC曲线包括来自诊断测试结果的所有可能的决策阈值。在这篇简短的报告中，我们讨论了ROC曲线的显著特征。以及讨论和解释ROC曲线下的面积，以及它在比较两个不同的测试或感兴趣的预测变量时的效用
The performance of a diagnostic test in the case of a binary predictor can be evaluated using the measures of sensitivity and specificity However, in many instances, we encounter predictors that are measured on a continuous or ordinal scale In such cases, it is desirable to assess performance of a diagnostic test over the range of possible cutpoints for the predictor variable This is achieved by a receiver operating characteristic (ROC) curve that includes all the possible decision thresholds from a diagnostic test result In this brief report, we discuss the salient features of the ROC curve. as well as discuss and interpret the area under the ROC curve, and its utility in comparing two different tests or predictor variables of interest