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A Survey Design for a Sensitive Binary Variable Correlated with Another Nonsensitive Binary Variable

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成果类型:
期刊论文
作者:
Jun-Wu Yu;Yang Lu;Guo-Liang Tian
通讯作者:
Tian, G.-L.
作者机构:
School of Mathematics and Computational Science, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China
School of Mathematics and Statistics, Central China Normal University, Wuhan, Hubei 430079, China
Department of Statistics and Actuarial Science, University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong
通讯机构:
Department of Statistics and Actuarial Science, University of Hong Kong, Pokfulam Road, Hong Kong
语种:
英文
期刊:
Journal of Probability and Statistics
ISSN:
1687-952X
年:
2013
卷:
2013
期:
309
机构署名:
本校为其他机构
院系归属:
数学与统计学学院
摘要:
Tian et al. (2007) introduced a so-called hidden sensitivity model for evaluating the association of two sensitive questions with binary outcomes. However, in practice, we sometimes need to assess the association between one sensitive binary variable (e.g., whether or not a drug user, the number of sex partner being 1 or >1, and so on) and one nonsensitive binary variable (e.g., good or poor health status, with or without cervical cancer, and so on). To address this issue, by sufficiently utilizing the information contained in the non-sensitive...

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