Smoothed empirical likelihood for optimal cut point analysis
- 所属单位：数学与统计学院
- 发表刊物：communications in statistics-theory and methods
- 项目来源：其他课题
- 关键字：Cut point; empirical likelihood; kernel smoothing; receiver operating characteris
- 摘要：In diagnostic studies, a continuous biomarker is often dichotomized for
the diagnosis of binary disease status. Various criteria have been studied
for the cut point selection of the continuous biomarker in receiver operating characteristic (ROC) analysis, in particular, the Youden index, the
closest-to-(0,1) index, and the concordance probability index. Recently,
Wang, Tian, and Zhao (2017) established a Wilks theorem for a smoothed
empirical likelihood ratio statistic of Youden index. However, it is not
directly useful for statistical inference compared to the cut point. In addition, the optimal cut point may vary with different criteria. In this article,
we study smoothed empirical likelihood for optimal cut point selection
with Youden index, closest-to-(0,1) criterion, and concordance probability. We develop confidence estimation for the optimal cut points
based on the smoothed empirical likelihood ratio statistics. We examine
the empirical performance by extensive simulation studies. We also
illustrate the method with a real dataset.
- 合写作者：王纯杰,yao yujing,jin zhezhen
- 第一作者：刘蓉
- 论文类型：期刊论文
- 页面范围：1
- 是否译文：否
- 发表时间：2023-08-21
