Methods for mediation analysis with missing data

DOI10.1007/s11336-012-9301-5zbMath1284.62773OpenAlexW2084986538WikidataQ30841598 ScholiaQ30841598MaRDI QIDQ1940988

Zhi Yong Zhang, Li Juan Wang

Publication date: 11 March 2013

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-012-9301-5

zbMATH Keywords

bootstrapmissing dataauxiliary variablesmediation analysisMITS-ML

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (5)

Multiple mediation analysis for interval-valued data ⋮ Testing indirect effect with a complete or incomplete dichotomous mediator ⋮ A framework for mediation analysis with massive data ⋮ A class of distribution-free models for longitudinal mediation analysis ⋮ bmem

Uses Software

• R
• SPSS
• sem
• SAS
• tmvtnorm
• AS 249
• bootstrap
• RAMpath

Cites Work

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• Identifying variables responsible for data not missing at random
• Bootstrap methods: another look at the jackknife
• Linear structural equations with latent variables
• Multiple Imputation After 18+ Years
• Algorithm AS 249: Evaluation of the Mean and Covariance of the Truncated Multinormal Distribution
• Better Bootstrap Confidence Intervals
• Inference and missing data
• Missing Data, Imputation, and the Bootstrap
• Maximum likelihood estimation in covariance structure analysis with truncated data

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