Receiver operating characteristic (ROC) methodology: the state of the art.
Receiver operating characteristic (ROC) methodology: the state of the art.
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发表时间：
1989
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通讯作者：
J. Hanley
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作者：
J. Hanley
受试者工作特征（ROC）方法在过去10年中越来越多地用于医学应用。Swets和Pickett的文章推广了这一技术，《医学决策》杂志（1981-）为进一步的方法论问题提供了一个论坛。在这篇文章中，我将（1）描述ROC研究所产生的数据的性质;（2）评估概括性能指标的选择（准确性）;（3）概述所使用的数据分析技术，以及如何合并来自多个观察者和多个“读数”的数据;（4）审查常用的副正态ROC模型的替代方案;和（5）讨论问题，如验证偏差，和挑战，如多中心比较成像研究和获得“真实数据”的困难，这需要解决时，调整ROC方法的医学背景。
Receiver operating characteristic (ROC) methodology has been increasingly used in medical applications in the last 10 years. The text by Swets and Pickett has popularized the technique and the journal Medical Decision Making (1981--) provides a forum for further methodologic issues. In this article, I will (1) describe the nature of the data generated by ROC studies; (2) evaluate the choices of summary indices of performance (accuracy); (3) outline the data-analytic techniques used, and how to incorporate data from multiple observers and multiple "readings"; (4) review proposed alternatives to the commonly used binormal ROC model; and (5) discuss issues, such as verification bias, and challenges, such as multicenter comparative imaging studies and the difficulty of obtaining "truth data", which need to be addressed when adapting ROC methods to medical contexts.