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“創(chuàng)源”大講堂研究生學術講座
報告人:秦更生 (美國佐治亞州立大學教授)
講座題目:Jackknife
Empirical Likelihood Confidence Regions for the Evaluation of Continuous-scale
Diagnostic Tests with Verification Bias
講座時間:2015年7月9日(周四)下午4:00pm~5:00pm
講座地點:犀浦校區(qū)kaiyun開云官方網站報告廳X2511
報告內容簡介:
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.
個人簡介:
秦更生,美國佐治亞州立大學(Georgia State
University)數學與統(tǒng)計系教授。他是美國統(tǒng)計學會、數理統(tǒng)計學會、加拿大統(tǒng)計學會等學會會員,曾任《Statistics
& Probability Letters》副主編,目前擔任統(tǒng)計學雜志《Open
Journal of Statistics》、《Statistics Research
Letters》、《Computational and Mathematical Methods
in Medicine》等期刊編委。主要研究方向為生物統(tǒng)計和數理統(tǒng)計,其中包括生存分析、時間序列、經驗似然方法等,發(fā)表論文60余篇,取得了多項創(chuàng)新性成果發(fā)表在《Bernoulli 》、《Biometrics 》、《The Canadian Journal of
Statistics》在內的多個世界一流統(tǒng)計學期刊上。
主辦:研究生院
承辦:kaiyun開云官方網站