Empirical Likelihood-Based Confidence Interval of ROC Curves.
In this article we propose an empirical likelihood-based confidence interval for receiver operating characteristic curves which are based on a continuous-scale test. The approach is easily understood, simply implemented, and computationally efficient. The results from our simulation studies indicate that the finite-sample numerical performance slightly outperforms the most promising methods published recently. Two real datasets are analyzed by using the proposed method and the existing bootstrap-based method.
Su
Haiyan
H
Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642.
Qin
Yongsong
Y
Liang
Hua
H