报告人：杨宝莹
报告摘要：In the receiver operating characteristic
(ROC) analysis, the area under the ROC curve (AUC) isa popular summary index of
discriminatory accuracy of a diagnostic test. Incorporating covariates into
ROCanalysis can improve the diagnostic accuracy of the test. Regression model
for the AUC is a tool to evaluate theeffects of the covariates on the
diagnostic accuracy. In this paper, empirical likelihood (EL) method is
proposedfor the AUC regression model. For the regression parameter vector, it
can be shown that the asymptoticdistribution of its EL ratio statistic is a
weighted sum of independent chi-square distributions. Confidenceregions are
constructed for the parameter vector based on the newly developed empirical
likelihood theorem, aswell as for the covariate-specific AUC. Simulation
studies were conducted to compare the relative performanceof the proposed
EL-based methods with the existing method in AUC regression. Finally, the
proposed methodsare illustrated with a real data set.
报告人简介：杨宝莹，女，2011. 1-至今西南交通大学数学学院任教
教育经历：
2006. 9-2010. 12 四川大学数学学院获博士学位
(期间2008. 1-2010. 1 公派到美国佐治亚州立大学数学与统计系学习深造)
2003. 9-2006. 7 四川大学数学学院获硕士学位
1999. 9-2003. 7 四川大学数学学院获学士学位
报告时间：2014年12月16日下午2:00-4:00
报告地点：数学学院会议室X2511
