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報(bào)告題目：A robust fusion-extraction procedure with summary statistics in the presence of biased sources

主講人：王啟華研究員 (中國(guó)科學(xué)院數(shù)學(xué)與系統(tǒng)科學(xué)研究院)

時(shí)間：2023年6月1日（周四）15:30 p.m.

地點(diǎn)：北院卓遠(yuǎn)樓305會(huì)議室

主辦單位：統(tǒng)計(jì)與數(shù)學(xué)學(xué)院

摘要：

Information from multiple data sources is increasingly available. However, some data sources may produce biased estimates due to biased sampling, data corruption, or model misspecification. This calls for robust data combination methods with biased sources.  In this paper, a robust data fusion-extraction method is proposed. In contrast to existing methods, the proposed method can be applied to the important case where researchers have no knowledge of which data sources are unbiased. The proposed estimator is easy to compute and only employs summary statistics, and hence can be applied to many different fields, e.g., meta-analysis, Mendelian randomization, and distributed systems. The proposed estimator is consistent even if many data sources are biased and is asymptotically equivalent to the oracle estimator that only uses unbiased data. Asymptotic normality of the proposed estimator is also established. In contrast to the existing meta-analysis methods, the theoretical properties are guaranteed even if the number of data sources and the dimension of the parameter diverges as the sample size increases. Furthermore, the proposed method provides a consistent selection for unbiased data sources with probability approaching one. Simulation studies demonstrate the efficiency and robustness of the proposed method empirically. The proposed method is applied to a meta-analysis data set to evaluate the surgical treatment for moderate periodontal disease and to a Mendelian randomization data set to study the risk factors of head and neck cancer.

主講人簡(jiǎn)介：

王啟華,，中國(guó)科學(xué)院數(shù)學(xué)與系統(tǒng)科學(xué)研究院研究員，博士生導(dǎo)師,，國(guó)家杰出青年基金獲得者,，教育部長(zhǎng)江學(xué)者獎(jiǎng)勵(lì)計(jì)劃特聘教授，中科院“百人計(jì)劃”入選者,。曾在北京大學(xué),、香港大學(xué)任教，先后訪問(wèn)加拿大,、美國(guó),、德國(guó)及澳大利亞10多所世界一流大學(xué)。主要從事復(fù)雜數(shù)據(jù)經(jīng)驗(yàn)似然統(tǒng)計(jì)推斷,、缺失數(shù)據(jù)分析,、高維數(shù)據(jù)統(tǒng)計(jì)分析、大規(guī)模數(shù)據(jù)分析等方面的研究,， 出版專著三部,，在The Annals of Statistics,  JASA及Biometrika等國(guó)際重要刊物發(fā)表論文150余篇, 部分工作已產(chǎn)生持久的學(xué)術(shù)影響。曾主持國(guó)家自然科學(xué)基金委國(guó)家杰出青年基金項(xiàng)目,、重點(diǎn)項(xiàng)目,、多項(xiàng)面上項(xiàng)目，作為核心骨干成員先后參加了兩項(xiàng)國(guó)家自然科學(xué)基金創(chuàng)新群體項(xiàng)目及一項(xiàng)國(guó)家重大研發(fā)計(jì)劃項(xiàng)目,。是高維統(tǒng)計(jì)分會(huì)理事長(zhǎng),， 生存分析分會(huì)副理事長(zhǎng)，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,，曾任或現(xiàn)任《中國(guó)科學(xué)》（中英文版）(2005-2012)、Electronic Research Archive,、Ann. Inst. Stat. Math,、Biostatistics & Epidemiology及《應(yīng)用數(shù)學(xué)學(xué)報(bào)》英文版等刊物及《現(xiàn)代數(shù)學(xué)基礎(chǔ)叢書(shū)》與《統(tǒng)計(jì)與數(shù)據(jù)科學(xué)叢書(shū)》的編委。