主講人：張立新 浙江大學(xué)特聘教授

時(shí)間：2022年11月9日18：00

地點(diǎn)：騰訊會(huì)議 402 884 226

舉辦單位：數(shù)理學(xué)院

主講人介紹：張立新，浙江大學(xué)求是特聘教授。1995年獲復(fù)旦大學(xué)理學(xué)博士學(xué)位， 1997年晉升為教授，2001年起先后擔(dān)任浙江大學(xué)統(tǒng)計(jì)學(xué)研究所副所長(zhǎng)、常務(wù)副所長(zhǎng)、所長(zhǎng)，浙江大學(xué)數(shù)學(xué)系副主任、數(shù)學(xué)科學(xué)學(xué)院副院長(zhǎng)?，F(xiàn)任浙江大學(xué)數(shù)據(jù)科學(xué)研究中心副主任、中國(guó)現(xiàn)場(chǎng)統(tǒng)計(jì)研究會(huì)常務(wù)理事、中國(guó)概率統(tǒng)計(jì)學(xué)會(huì)常務(wù)理事、浙江省現(xiàn)場(chǎng)統(tǒng)計(jì)研究會(huì)理事長(zhǎng)、中國(guó)現(xiàn)場(chǎng)統(tǒng)計(jì)研究會(huì)試驗(yàn)設(shè)計(jì)分會(huì)副理事長(zhǎng)。主要從事概率極限理論、相依數(shù)據(jù)模型、臨床試驗(yàn)自適應(yīng)隨機(jī)化設(shè)計(jì)等領(lǐng)域的研究，發(fā)表了學(xué)術(shù)論文170余篇，先后主持國(guó)家自然科學(xué)基金面上項(xiàng)目5項(xiàng)、杰出青年基金項(xiàng)目1項(xiàng)、重點(diǎn)項(xiàng)目1項(xiàng)，2018年入選浙江省科技創(chuàng)新領(lǐng)軍人才，2020年當(dāng)選Institute of Mathematical Statistics Fellow。

內(nèi)容介紹：Balancing treatment allocation over influential covariates is an important issue in clinical trials. In literature, a lot of covariate-adaptive designs are proposed for balancing covariates. In this talk, we consider the asymptotic properties of the covariate-adaptive designs. The asymptotic type I error and asymptotic power of hypothesis testing to compare the treatment effects under covariate-adaptive randomization procedures are considered. It is shown that the traditional test has not precise type I error and will lose power if the covariates are not balanced well. Basing on the asymptotic properties of a wide class of covariate-adaptive randomization procedures which can balance general covariate features, the asymptotically efficient covariate-adaptive designs are introduced so that the loss of power is asymptotically ignorable. The talk is based on works of Ma, Hu and Zhang (2015), Hu and Zhang (2013), Hu, Ye and Zhang (2022+), Ma, Li, Zhang and Hu (2022+).