用于医学诊断测试评估的受试者工作特征（ROC）曲线分析。
Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation.
作者信息
Hajian-Tilaki Karimollah
机构信息
Department of Social Medicine and Health, Babol University of Medical Sciences, Babol, Iran.
出版信息
Caspian J Intern Med. 2013 Spring;4(2):627-35.
Abstract
This review provides the basic principle and rational for ROC analysis of rating and continuous diagnostic test results versus a gold standard. Derived indexes of accuracy, in particular area under the curve (AUC) has a meaningful interpretation for disease classification from healthy subjects. The methods of estimate of AUC and its testing in single diagnostic test and also comparative studies, the advantage of ROC curve to determine the optimal cut off values and the issues of bias and confounding have been discussed.
摘要
本综述提供了对评分及连续诊断测试结果与金标准进行ROC分析的基本原理和理论依据。推导得出的准确性指标，特别是曲线下面积（AUC）对于从健康受试者中进行疾病分类具有有意义的解释。文中讨论了单诊断测试中AUC的估计方法及其检验，以及比较研究、ROC曲线在确定最佳临界值方面的优势，还有偏倚和混杂问题。
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