講座題目:  Semiparametric transformation models for semicompeting survival data

主講人: 西南財(cái)經(jīng)大學(xué)統(tǒng)計(jì)學(xué)院統(tǒng)計(jì)研究中心主任  林華珍教授

主講人簡(jiǎn)介:

林華珍，華西醫(yī)科大學(xué)衛(wèi)生統(tǒng)計(jì)專業(yè)博士，美國(guó)華盛頓大學(xué)生物統(tǒng)計(jì)系博士后，西南財(cái)經(jīng)大學(xué)統(tǒng)計(jì)學(xué)院教授。先后作為副研究員、訪問(wèn)教授或訪問(wèn)學(xué)者在美國(guó)UCLA、美國(guó)University of Washington、加拿大University of Waterloo、英國(guó)University of Manchester、香港中文大學(xué)、香港大學(xué)、香港科技大學(xué)及香港浸會(huì)大學(xué)學(xué)習(xí)和工作。

林教授2011年獲國(guó)家杰出青年科學(xué)基金資助，2010入選教育部新世紀(jì)優(yōu)秀人才支持計(jì)劃。從事統(tǒng)計(jì)學(xué)研究，論文發(fā)表在包括《The Annals of Statistics》、《Journal of the Royal Statistical Society Series B》、《Biometrika》及《Biometrics》國(guó)際統(tǒng)計(jì)學(xué)排位前5的學(xué)術(shù)刊物上。

時(shí)間：2014年5月21日下午15:00點(diǎn) 

地點(diǎn)：kaiyun開(kāi)云官方網(wǎng)站犀浦校區(qū)kaiyun開(kāi)云官方網(wǎng)站會(huì)議室X2511 

內(nèi)容簡(jiǎn)介:

Semicompeting risk outcome data, e.g. time to disease progression and time to death,  are commonly collected in clinical trials. However,  analysis of these data is often hampered by a scarcity of  available statistical tools. As such, we propose a novel semiparametric transformation model that improves the existing models in the following ways. First, it estimates   regression coefficients and association parameters simultaneously. Second, the measure of surrogacy, for example, the proportion of the treatment effect that is mediated by the surrogate and the ratio of the overall treatment effect on the true end point over that on the surrogate end point, can  be directly obtained. We propose  a two-stage estimation procedure for inference and show that the  proposed estimator is  consistent and asymptotically normal. Extensive simulations demonstrate the valid usage of  our method.  We apply the method to a multiple myeloma trial to study the impact of several biomarkers on patients' semicompeting outcomes, namely, time to progression and time to death.