Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies

DOI10.1016/S0047-259X(03)00043-5zbMath1030.62086OpenAlexW2057443759MaRDI QIDQ1414599

Wen-Qing Ma, Yong-Hua Hu, Zhi Geng

Publication date: 4 December 2003

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0047-259x(03)00043-5

zbMATH Keywords

Longitudinal dataIdentifiabilityDirected acyclic graphBinary outcomeNonignorable nonresponse

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Applications of graph theory (05C90) System identification (93B30) Directed graphs (digraphs), tournaments (05C20)

Related Items (6)

Semiparametric Inference of Causal Effect with Nonignorable Missing Confounders ⋮ Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi ⋮ Binomial proportion estimation in longitudinal data with non-ignorable non-response ⋮ Using Auxiliary Data for Binomial Parameter Estimation with Nonignorable Nonresponse ⋮ Generalized signed-rank estimation for regression models with non-ignorable missing responses ⋮ Semiparametric optimal estimation with nonignorable nonresponse data

Cites Work

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• On identifiability in models for incomplete binary data
• Multivariate Logistic Models for Incomplete Binary Responses
• Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse
• Pattern-Mixture Models for Multivariate Incomplete Data
• Informative Drop-Out in Longitudinal Data Analysis
• Identification in Parametric Models

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