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Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies
Ma, WQ; Geng, Z; Hu, YH
关键词binary outcome directed acyclic graph identifiability longitudinal data nonignorable nonresponse
刊名JOURNAL OF MULTIVARIATE ANALYSIS
2003-10-01
DOI10.1016/S0047-259X(03)00043-5
87期:1页:24-45
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Statistics & Probability
研究领域[WOS]Mathematics
英文摘要

In this paper, we use directed acyclic graphs (DAGs) with temporal structure to describe models of nonignorable nonresponse mechanisms for binary outcomes in longitudinal studies, and we discuss identification of these models under an assumption that the sequence of variables has the first-order Markov dependence, that is, the future variables are independent of the past variables conditional on the present variables. We give a stepwise approach for checking identifiability of DAG models. For an unidentifiable model, we propose adding completely observed variables such that this model becomes identifiable. (C) 2003 Elsevier Inc. All rights reserved.

语种英语
WOS记录号WOS:000185710600002
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/65239
专题北京大学公共卫生学院
作者单位1.Peking Univ, Sch Math Sci, Dept Probabil & Stat, Beijing 100871, Peoples R China
2.Peking Univ, Sch Publ Hlth, Beijing 100083, Peoples R China
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GB/T 7714
Ma, WQ,Geng, Z,Hu, YH. Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2003,87(1):24-45.
APA Ma, WQ,Geng, Z,&Hu, YH.(2003).Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies.JOURNAL OF MULTIVARIATE ANALYSIS,87(1),24-45.
MLA Ma, WQ,et al."Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies".JOURNAL OF MULTIVARIATE ANALYSIS 87.1(2003):24-45.
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