接收机工作特性
计算机科学
灵敏度(控制系统)
样本量测定
诊断准确性
软件
诊断试验
医学物理学
统计
模式识别(心理学)
医学
人工智能
数据挖掘
机器学习
数学
放射科
工程类
电子工程
急诊医学
程序设计语言
作者
Nancy A. Obuchowski,Jennifer Bullen
标识
DOI:10.1088/1361-6560/aab4b1
摘要
Receiver operating characteristic (ROC) analysis is a tool used to describe the discrimination accuracy of a diagnostic test or prediction model. While sensitivity and specificity are the basic metrics of accuracy, they have many limitations when characterizing test accuracy, particularly when comparing the accuracies of competing tests. In this article we review the basic study design features of ROC studies, illustrate sample size calculations, present statistical methods for measuring and comparing accuracy, and highlight commonly used ROC software. We include descriptions of multi-reader ROC study design and analysis, address frequently seen problems of verification and location bias, discuss clustered data, and provide strategies for testing endpoints in ROC studies. The methods are illustrated with a study of transmission ultrasound for diagnosing breast lesions.
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