報告題目：Jackknife empirical likelihood for linear transformation

               models with  interval censored failure time data

報告人：   Zhao, Yichuan教授

主持人：鄭海濤

講座地點： 2014年6月23日下午3:00 - 4:00

講座地點： 犀浦校區(qū)二號樓kaiyun開云官方網(wǎng)站 X2511

報告內(nèi)容簡介：

For regression analysis of interval-censored failure time data, Zhang et al. (2005) proposed an estimating equation approach to t linear transformation models. In this paper, we develop two empirical likelihood (EL) inference approaches for the regression parameters based on the generalized estimating equations. The limiting distributions of log-empirical likelihood ratios are derived and empirical likelihood confidence intervals for any specified component of regression parameters are obtained. We carry out extensive simulation studies to compare the proposed methods with the method discussed by Zhang et al. (2005). The simulation results demonstrate that the EL and jackknife EL methods for linear transformation models have better performance than the existing normal approximation method based on coverage probability of confidence intervals in most cases, and they enable us to overcome an under-coverage problem for the confidence intervals of the regression parameters using a normal approximation when sample sizes are small and right censoring is heavy. Two real data examples are provided to illustrate our procedures. 　　　　　　

主講人簡介：Dr. Yichuan Zhao于2002年在佛羅里達(dá)州立大學(xué)統(tǒng)計系獲得哲學(xué)博士學(xué)位，現(xiàn)任美國佐治亞州立大學(xué)統(tǒng)計系教授。主要從事Survival Analysis, Empirical Likelihood Method, Nonparametric Statistics, Analysis of ROC Curves, Bioinformatics, Monte Carlo Methods 和 Statistical Modeling of Fuzzy Systems等方面的研究?，F(xiàn)已發(fā)表數(shù)十篇高水平國際論文。他同時也是神經(jīng)科學(xué)研究所(Neuroscience Institute)準(zhǔn)會員和佐治亞州立大學(xué)PUHR的兼職教員。

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