Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
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DOI：
10.1161/circulationaha.105.594929
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发表时间：
2007-02-06
期刊：
影响因子：
37.8
通讯作者：
Mauri, Laura
中科院分区：
文献类型：
--
作者：
Zou, Kelly H.;O'Malley, A. James;Mauri, Laura
在评价连续标度诊断试验时，我们需要考虑当试验阈值t变化时特异性和灵敏度的变化。人们可能希望报告最佳阈值处的灵敏度和特异性的总和（稍后更详细地讨论）。然而，由于t的最佳值可能与特定应用无关，因此在感兴趣的值范围内绘制灵敏度和特异性可能会有所帮助，如ROC曲线所做的那样。灵敏度和特异性之间的这种固有权衡也可以通过改变阈值的选择来证明。
When evaluating a continuous-scale diagnostic test, we need to account for the changes of specificity and sensitivity when the test threshold t varies. One may wish to report the sum of sensitivity and specificity at the optimal threshold (discussed later in greater detail). However, because the optimal value of t may not be relevant to a particular application, it can be helpful to plot sensitivity and specificity over a range of values of interest, as is done with an ROC curve. This inherent tradeoff between sensitivity and specificity also can be demonstrated by varying the choice of threshold.