Improved Confidence Intervals for the Youden Index
Improved Confidence Intervals for the Youden Index
复制标题
DOI：
10.1371/journal.pone.0127272
复制
发表时间：
2015-07-01
期刊：
影响因子：
3.7
通讯作者：
Shan, Guogen
中科院分区：
文献类型：
--
作者：
Shan, Guogen
约登指数是对具有顺序或连续终点的诊断试验的准确度的受试者工作特征（ROC）曲线的汇总测量。基于调整比例估计的自举置信区间在现有置信区间（包括通过delta方法得到的参数区间）中具有满意的性能。在本文中，我们提出了两个置信区间，使用基于威尔逊评分方法的平方和相加限制。通过广泛的模拟研究，我们将这两个提出的区间与现有的区间进行了比较。基于经验比例估计的新区间通常比基于调整比例估计的新区间具有更好的性能。本文以前列腺癌临床试验为例，说明了新间隔的应用。
The Youden Index is a summary measurement of the receiver operating characteristic (ROC) curve for the accuracy of a diagnostic test with ordinal or continuous endpoints. The bootstrap confidence interval based on the adjusted proportion estimate was shown to have satisfactory performance among the existing confidence intervals, including the parametric interval via the delta method. In this article, we propose two confidence intervals using the square-and-add limits based on the Wilson score method. We compare the two proposed intervals with the existing interval with extensive simulation studies. The new interval based on the empirical proportion estimate generally has better performance than that based on the adjusted proportion estimate. A real example from a clinical trial of prostate cancer is illustrated for the application of the new intervals.