报告题目：Smoothed jackknife empirical likelihood method for ROC curves with missing data

报告人：Yichuan Zhao（Georgia State University）

时间：2012年7月9日（星期一）10:00—11:00

地点：理科楼数学系A304

摘要：In this talk, we apply smoothed jackknife empirical likelihood (JEL) method to construct confidence intervals for the receiver operating characteristic (ROC) curve with missing data. After using hot deck imputation, we generate pseudo-jackknife sample to develop jackknife empirical likelihood. Comparing to traditional empirical likelihood method, the smoothed JEL has a great advantage in saving computational cost. Under mild conditions, the smoothed jackknife empirical likelihood ratio converges to a scaled chi-square distribution. Furthermore, extensive simulation studies in terms of coverage probability and average length of confidence intervals demonstrate this proposed method has the good performance in small sample sizes. A real data set is used to illustrate our proposed JEL method. This talk is based on joint work with Hanfang Yang.

报告人介绍：Dr. Yichuan Zhao is currently an associate professor of Statistics in theGeorgiaStateUniversity. He has a B.S. and a M.S. in Mathematics fromPekingUniversity, and a M.S. in Stochastics and Operations Research from theUtrechtUniversity. He received the Ph. D. in Statistics at theFloridaStateUniversity. His current research interest focuses on Survival Analysis, Empirical Likelihood, Analysis of ROC Curves, Bioinformatics, and Statistical Modeling of Fuzzy Systems. He has a joint appointment as Associate Member of the Neuroscience Institute in the GeorgiaStateUniversity.

联系人：杨瑛