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	Accommodating missingness in environmental measurements in gene-environment interaction analysis
	Wu Mengyun[1]; Zang Yangguang[2]; Zhang Sanguo[3]; Huang Jian[4]; Ma Shuangge[5]
刊名	Genetic epidemiology
	2017
卷号	41页码:523-554
关键词	G-E interaction data augmentation missing data penalized estimation prognosis
ISSN号	1098-2272
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2224248
专题	上海大学
作者单位	1.School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, People's Republic of China. 2.Department of Biostatistics, Yale University, New Haven, Connecticut, United States of America. 3.School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, People's Republic of China. 4.Department of Statistics and Actuarial Science, University of Iowa, Iowa City, Iowa, United States of America.
推荐引用方式 GB/T 7714	Wu Mengyun[1],Zang Yangguang[2],Zhang Sanguo[3],et al. Accommodating missingness in environmental measurements in gene-environment interaction analysis[J]. Genetic epidemiology,2017,41:523-554.
APA	Wu Mengyun[1],Zang Yangguang[2],Zhang Sanguo[3],Huang Jian[4],&Ma Shuangge[5].(2017).Accommodating missingness in environmental measurements in gene-environment interaction analysis.Genetic epidemiology,41,523-554.
MLA	Wu Mengyun[1],et al."Accommodating missingness in environmental measurements in gene-environment interaction analysis".Genetic epidemiology 41(2017):523-554.

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