统计系报告通知：
题目：Empirical Likelihood-based Confidence Intervals for Mean Medical Cost with Censored Data；
时间：2017年6月15日上午10：30
地点：X2511
摘要：In this paper we propose empirical likelihood methods based on influence function and jackknife techniques for constructing confidence intervals for mean medical cost with censored data. We conduct a simulation study to compare the coverage probabilities and interval lengths of our proposed confidence intervals with that of the existing normal approximation-based confidence intervals and bootstrap confidence intervals. The proposed methods have better finite-sample performances than existing methods. Finally, we illustrate our proposed methods with a relevant example.
报告人简介：秦更生，美国佐治亚州立大学(Georgia State University)数学与统计系教授。他是美国统计学会、数理统计学会、加拿大统计学会等学会会员，曾任《Statistics & Probability Letters》副主编，目前担任统计学杂志《Open Journal of Statistics》、《Statistics Research Letters》、《Computational and Mathematical Methods in Medicine》等期刊编委。主要研究方向为生物统计和数理统计，其中包括生存分析、时间序列、经验似然方法等，发表论文60余篇，取得了多项创新性成果发表在《Bernoulli 》、《Biometrics 》、《The Canadian Journal of Statistics》在内的多个世界一流统计学期刊上。
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