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学科主题: 公共卫生
题名:
Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies
作者: 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
发表日期: 2003-10-01
DOI: 10.1016/S0047-259X(03)00043-5
卷: 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
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/65239
Appears in Collections:北京大学公共卫生学院_期刊论文

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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

Recommended Citation:
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.
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