南方科技大学知识苑(SUSTech KC): Logistic regression analysis of non-randomized response data collected by the parallel model in sensitive surveys

题名	Logistic regression analysis of non-randomized response data collected by the parallel model in sensitive surveys
作者	Tian, Guo-Liang1 ; Liu, Yin 2; Tang, Man-Lai 3
通讯作者	Liu, Yin
发表日期	2019-06
DOI	10.1111/anzs.12258
发表期刊	AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS 影响因子和分区
ISSN	1369-1473
EISSN	1467-842X
卷号	61 期号:2页码:134-151
摘要	To study the relationship between a sensitive binary response variable and a set of non-sensitive covariates, this paper develops a hidden logistic regression to analyse non-randomized response data collected via the parallel model originally proposed by Tian (2014). This is the first paper to employ the logistic regression analysis in the field of non-randomized response techniques. Both the Newton-Raphson algorithm and a monotone quadratic lower bound algorithm are developed to derive the maximum likelihood estimates of the parameters of interest. In particular, the proposed logistic parallel model can be used to study the association between a sensitive binary variable and another non-sensitive binary variable via the measure of odds ratio. Simulations are performed and a study on people's sexual practice data in the United States is used to illustrate the proposed methods.
关键词	hidden logit model Newton-Raphson algorithm non-randomized parallel model odds ratio quadratic lower bound algorithm
相关链接	[来源记录]
收录类别	SCI
语种	英语
学校署名	第一
资助项目	Research Grant Council of the Hong Kong Special Administrative Region[UGC/FDS14/P01/16]
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000474265800002
出版者	WILEY
ESI学科分类	MATHEMATICS
来源库	Web of Science
引用统计	被引频次[WOS]：8
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/25763
专题	南方科技大学理学院_统计与数据科学系
作者单位	1.Southern Univ Sci & Technol, Shenzhen, Peoples R China 2.Zhongnan Univ Econ & Law, Sch Math & Stat, Wuhan 430073, Hubei, Peoples R China 3.Hang Seng Univ Hong Kong, Hong Kong, Peoples R China
第一作者单位	南方科技大学
第一作者的第一单位	南方科技大学
推荐引用方式 GB/T 7714	Tian, Guo-Liang,Liu, Yin,Tang, Man-Lai. Logistic regression analysis of non-randomized response data collected by the parallel model in sensitive surveys[J]. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS,2019,61(2):134-151.
APA	Tian, Guo-Liang,Liu, Yin,&Tang, Man-Lai.(2019).Logistic regression analysis of non-randomized response data collected by the parallel model in sensitive surveys.AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS,61(2),134-151.
MLA	Tian, Guo-Liang,et al."Logistic regression analysis of non-randomized response data collected by the parallel model in sensitive surveys".AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS 61.2(2019):134-151.