接收机工作特性
医学
顺序量表
考试(生物学)
诊断试验
灵敏度(控制系统)
统计
航程(航空)
曲线下面积
数学
内科学
古生物学
复合材料
材料科学
急诊医学
工程类
生物
电子工程
标识
DOI:10.1097/jto.0b013e3181ec173d
摘要
Abstract
The performance of a diagnostic test in the case of a binary predictor can be evaluated using the measures of sensitivity and specificity. However, in many instances, we encounter predictors that are measured on a continuous or ordinal scale. In such cases, it is desirable to assess performance of a diagnostic test over the range of possible cutpoints for the predictor variable. This is achieved by a receiver operating characteristic (ROC) curve that includes all the possible decision thresholds from a diagnostic test result. In this brief report, we discuss the salient features of the ROC curve, as well as discuss and interpret the area under the ROC curve, and its utility in comparing two different tests or predictor variables of interest.
科研通智能强力驱动
Strongly Powered by AbleSci AI