Using the Fraction of Missing Information to Identify Auxiliary Variables for Imputation Procedures via Proxy Pattern‐mixture Models

DOI10.1111/insr.12091OpenAlexW1479691973MaRDI QIDQ6064618

Katherine Jenny Thompson, Rebecca R. Andridge

Publication date: 10 November 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12091

zbMATH Keywords

maximum likelihoodimputationproxy pattern-mixture modelsfraction of missing information

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Analyzing establishment nonresponse using an interpretable regression tree model with linked administrative data
• Inferences on missing information under multiple imputation and two-stage multiple imputation
• Inference from stratified samples: Properties of the linearization, jackknife and balanced repeated replication methods
• Minimum Variance Stratification
• Pattern-Mixture Models for Multivariate Incomplete Data
• Protecting Against Nonrandomly Missing Data in Longitudinal Studies

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