Estimation of the volume under the ROC surface with three ordinal diagnostic categories
Estimation of the volume under the ROC surface with three ordinal diagnostic categories
复制标题
DOI：
10.1016/j.csda.2013.01.004
复制
发表时间：
2013-06-01
影响因子：
1.8
通讯作者：
Tian, Lili
中科院分区：
文献类型：
--
作者：
Kang, Le;Tian, Lili
With three ordinal diagnostic categories, the most commonly used measure for the overall diagnostic accuracy is the volume under the ROC surface (VUS), which is the extension of the area under the ROC curve (AUC) for binary diagnostic outcomes. This article proposes two kernel smoothing based approaches for estimation of the VUS. In an extensive simulation study, the proposed estimators are compared with the existing parametric and nonparametric estimators in terms of bias and root mean square error. A real data example of 203 participants from a cohort study for the detection of Glycan biomarkers for liver cancer is discussed. (C) 2013 Elsevier B.V. All rights reserved.
