統(tǒng)計系報告通知：
題目：Empirical Likelihood-based Confidence Intervals for Mean Medical Cost with Censored Data；
時間：2017年6月15日上午10：30
地點：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.
報告人簡介：秦更生，美國佐治亞州立大學(xué)(Georgia State University)數(shù)學(xué)與統(tǒng)計系教授。他是美國統(tǒng)計學(xué)會、數(shù)理統(tǒng)計學(xué)會、加拿大統(tǒng)計學(xué)會等學(xué)會會員，曾任《Statistics & Probability Letters》副主編，目前擔任統(tǒng)計學(xué)雜志《Open Journal of Statistics》、《Statistics Research Letters》、《Computational and Mathematical Methods in Medicine》等期刊編委。主要研究方向為生物統(tǒng)計和數(shù)理統(tǒng)計，其中包括生存分析、時間序列、經(jīng)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(nèi)的多個世界一流統(tǒng)計學(xué)期刊上。

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