Analysis of structural equation models with censored or truncated data via EM algorithm.

DOI10.1016/S0167-9473(97)80040-0zbMath1042.62521MaRDI QIDQ1128619

Sik-Yum Lee, Man-Lai Tang

Publication date: 13 August 1998

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Censored dataMaximum-likelihood estimationGeneralized censoring mechanism (GCM)Generalized EM algorithmNon-ignorable missing mechanismStructural equation modelsTruncated data

Mathematics Subject Classification ID

Point estimation (62F10)

Related Items (2)

Instrumental variable additive hazards models ⋮ Identifying variables responsible for data not missing at random

Uses Software

• LISREL

Cites Work

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• Estimation for structural equation models with missing data
• Estimation for the multiple factor model when data are missing
• Structural analysis of covariance and correlation matrices
• Analysis of structural equation models with censored data
• Maximum likelihood estimation in covariance structure analysis with truncated data
• Tobit factor analysis†
• Protecting Against Nonrandomly Missing Data in Longitudinal Studies

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