Exact confidence interval estimation for the Youden index and its corresponding optimal cut-point

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• 作者：Chin-Ying Lai^a ; ^{clai2@buffalo.edu} ; ^{janinelai@yahoo.com} ; Lili Tian^a ; Enrique F. Schisterman^b
• 关键词：Confidence interval ; ROC curve ; Sensitivity and specificity ; Youden index ; Optimal cut-point ; Generalized pivotal quantity
• 刊名：Computational Statistics and Data Analysis
• 出版年：2012
• 期刊代码：19_01679473
• 类别：cp
• 出版时间：1 May, 2012
• 卷：56
• 期：5
• 页码：1103-1114
• 文件大小：227 K

摘要

In diagnostic studies, the receiver operating characteristic (ROC) curve and the area under the ROC curve are important tools in assessing the utility of biomarkers in discriminating between non-diseased and diseased populations. For classifying a patient into the non-diseased or diseased group, an optimal cut-point of a continuous biomarker is desirable. Youden鈥檚 index (J), defined as the maximum vertical distance between the ROC curve and the diagonal line, serves as another global measure of overall diagnostic accuracy and can be used in choosing an optimal cut-point. The proposed approach is to make use of a generalized approach to estimate the confidence intervals of the Youden index and its corresponding optimal cut-point. Simulation results are provided for comparing the coverage probabilities of the confidence intervals based on the proposed method with those based on the large sample method and the parametric bootstrap method. Finally, the proposed method is illustrated via an application to a data set from a study on Duchenne muscular dystrophy (DMD).