新葡萄8883官网AMG
“创源”大讲堂研究生学术讲座
报告人：秦更生 (美国佐治亚州立大学教授)
讲座题目：Jackknife
Empirical Likelihood Confidence Regions for the Evaluation of Continuous-scale
Diagnostic Tests with Verification Bias
讲座时间：2015年7月9日（周四）下午4：00pm～5：00pm
讲座地点：犀浦校区新葡萄8883官网AMG报告厅X2511
报告内容简介：
Recently, Wang and Qin (2013) proposed various
bias-corrected empirical likelihood confidence regions for any two of the three
parameters,sensitivity, specificity, and cut-off value, with the remaining
parameter fixed at a given value in the evaluation of a continuous-scale diagnostic
test with verification bias. In order to apply those methods, quantiles of the
limiting weighted chi-squared distributions of the empirical log-likelihood
ratio statistics should be estimated. In order to facilitate application and
reduce computation burden, in this paper, jackknife empirical likelihood-based
methods are proposed for any pairs of sensitivity, specificity and cut-off
value, and asymptotic results can be derived accordingly. The proposed methods can
be easily implemented to construct confidence regions for the evaluation of
continuous-scale diagnostic tests with verification bias. Simulation studies
are conducted to evaluate the finite sample performance and robustness of the
proposed jackknife empirical likelihood-based confidence regions in terms of
coverage probabilities. Finally, a real example is provided to illustrate the
application of new methods.
个人简介：
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。
主办：研究生院
承办：新葡萄8883官网AMG
