南方科技大学知识苑(SUSTech KC): A new variant of the parallel regression model with variable selection in surveys with sensitive attribute

题名	A new variant of the parallel regression model with variable selection in surveys with sensitive attribute
作者	Liu，Yin 1; Tian，Guo Liang2 ; Wang，Mingqiu 3
通讯作者	Wang，Mingqiu
发表日期	2021-05-01
DOI	10.1016/j.jspi.2020.08.006
发表期刊	Journal of Statistical Planning and Inference 影响因子和分区
ISSN	0378-3758
EISSN	1873-1171
卷号	212页码:69-83
摘要	In this paper, a new hidden logistic regression model, i.e., the variant of the parallel regression model, is developed to study the relationship between a sensitive binary response variable and a set of non-sensitive covariates, where the information about the sensitive attribute of interest is collected via the variant of the parallel model originally proposed by Liu and Tian (2013b). The EM–NR algorithm is provided to derive the maximum likelihood estimates of the regression coefficients. Furthermore, we also discuss the method of identifying confounding variable and the method of variable selection based on SCAD penalty for the variant of the parallel regression model. Finally, simulation studies and a real data example about premarital sexual behavior were conducted to illustrate the proposed approaches.
关键词	Confounding variable identification EM–NR algorithm SCAD penalty Variable selection
相关链接	[Scopus记录]
收录类别	SCI ; SSCI
语种	英语
学校署名	其他
资助项目	National Natural Science Foundation of China[11601524,61773401,11771199,11771250,12071248] ; National Statistical Science Research Project of China[2020LZ260]
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000598666100005
出版者	ELSEVIER
Scopus记录号	2-s2.0-85095936811
来源库	Scopus
引用统计	被引频次[WOS]：1
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/209397
专题	理学院_统计与数据科学系
作者单位	1.School of Statistics and Mathematics,Zhongnan University of Economics and Law,Wuhan City,China 2.Department of Statistics and Data Science,Southern University of Science and Technology,Shenzhen City,China 3.School of Statistics,Qufu Normal University,Qufu City,China
推荐引用方式 GB/T 7714	Liu，Yin,Tian，Guo Liang,Wang，Mingqiu. A new variant of the parallel regression model with variable selection in surveys with sensitive attribute[J]. Journal of Statistical Planning and Inference,2021,212:69-83.
APA	Liu，Yin,Tian，Guo Liang,&Wang，Mingqiu.(2021).A new variant of the parallel regression model with variable selection in surveys with sensitive attribute.Journal of Statistical Planning and Inference,212,69-83.
MLA	Liu，Yin,et al."A new variant of the parallel regression model with variable selection in surveys with sensitive attribute".Journal of Statistical Planning and Inference 212(2021):69-83.