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    “創(chuàng)源”大講堂: 秦更生, 美國佐治亞州立大學教授

    2015-07-05 鄭海濤 點擊:[]

    kaiyun開云官方網站

    “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

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