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	Improve efficiency and reduce bias of Cox regression models for two-stage randomization designs using auxiliary covariates
	Yang Xue[1]; Zhou Yong[2]
刊名	Statistics in medicine
	2017
卷号	36页码:1683-1695
关键词	Cox regression covariate adjustment inverse probability weighting projection theorem semiparametric theory two-stage randomization design
ISSN号	1097-0258
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/2224117
专题	上海大学
作者单位	1.[1]School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China. 2.[2]School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China.
推荐引用方式 GB/T 7714	Yang Xue[1],Zhou Yong[2]. Improve efficiency and reduce bias of Cox regression models for two-stage randomization designs using auxiliary covariates[J]. Statistics in medicine,2017,36:1683-1695.
APA	Yang Xue[1],&Zhou Yong[2].(2017).Improve efficiency and reduce bias of Cox regression models for two-stage randomization designs using auxiliary covariates.Statistics in medicine,36,1683-1695.
MLA	Yang Xue[1],et al."Improve efficiency and reduce bias of Cox regression models for two-stage randomization designs using auxiliary covariates".Statistics in medicine 36(2017):1683-1695.

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