接收机工作特性
航程(航空)
统计
考试(生物学)
曲线下面积
曲线下面积
数学
医学
工程类
内科学
生物
药代动力学
航空航天工程
古生物学
作者
Michael A. Kohn,Thomas B. Newman
标识
DOI:10.1016/j.jclinepi.2023.07.020
摘要
An accuracy study of a test that produces a wide range of results will often present a receiver operating characteristic (ROC) curve and report the area under the ROC curve (AUROC). The AUROC is a summary measure of how well the test discriminates between those with the condition or disease in question and those without it. A test that perfectly separates individuals with and without the condition has an AUROC of 1.0, and a test that doesn't separate them at all has an AUROC of 0.5. The AUROC is also the probability that a random individual with the condition will have a more abnormal test result than a random individual without the condition. In this Key Concepts article, we present our "walking man" approach to understanding ROC curves and the AUROC.
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