Department of Statistics, National Taipei University, New Taipei City, Taiwan.
Biom J. 2022 Apr;64(4):771-804. doi: 10.1002/bimj.202000036. Epub 2022 Jan 23.
With the progressive technology, many medical researches are aimed to develop diagnostic tests that can detect diseases faster and accurately. The assessment of the accuracy of the diagnostic test for classifying two groups is through the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC). When a paired design is considered, the sample size determination requires the information about two AUC estimates and the corresponding variance and covariance of two AUC estimators. This paper derives the nonparametric estimators of the variance and covariance of two AUC estimators. The result is used to derive the sample size formula when the paired sample is planned. Since most of the results do not have a closed form, numerical results are provided under various scenarios.
随着科技的进步,许多医学研究旨在开发能够更快、更准确地诊断疾病的诊断测试。通过受试者工作特征(ROC)曲线和 ROC 曲线下面积(AUC)来评估诊断测试对两组进行分类的准确性。当考虑配对设计时,样本量的确定需要有关两个 AUC 估计值以及两个 AUC 估计值的方差和协方差的信息。本文推导出了两个 AUC 估计值的方差和协方差的非参数估计量。该结果用于推导出配对样本设计时的样本量公式。由于大多数结果没有封闭形式,因此在各种情况下提供了数值结果。