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“創(chuàng)源”大講堂研究生學(xué)術(shù)講座

報(bào)告人：秦更生 (美國(guó)佐治亞州立大學(xué)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(shí)間：2015年7月9日（周四）下午4：00pm～5：00pm

講座地點(diǎn)：犀浦校區(qū)kaiyun開(kāi)云官方網(wǎng)站報(bào)告廳X2511

報(bào)告內(nèi)容簡(jiǎn)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(gè)人簡(jiǎn)介：

    秦更生，美國(guó)佐治亞州立大學(xué)(Georgia State University)數(shù)學(xué)與統(tǒng)計(jì)系教授。他是美國(guó)統(tǒng)計(jì)學(xué)會(huì)、數(shù)理統(tǒng)計(jì)學(xué)會(huì)、加拿大統(tǒng)計(jì)學(xué)會(huì)等學(xué)會(huì)會(huì)員，曾任《Statistics & Probability Letters》副主編，目前擔(dān)任統(tǒng)計(jì)學(xué)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?yàn)樯锝y(tǒng)計(jì)和數(shù)理統(tǒng)計(jì)，其中包括生存分析、時(shí)間序列、經(jīng)驗(yàn)似然方法等，發(fā)表論文60余篇，取得了多項(xiàng)創(chuàng)新性成果發(fā)表在《Bernoulli 》、《Biometrics 》、《The Canadian Journal of Statistics》在內(nèi)的多個(gè)世界一流統(tǒng)計(jì)學(xué)期刊上。

主辦：研究生院

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