Missing Data: A Unified Taxonomy Guided by Conditional Independence

DOI10.1111/insr.12242OpenAlexW2769429045MaRDI QIDQ6086557

Elena Stanghellini, Marco Doretti, Sara Geneletti

Publication date: 10 November 2023

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

Full work available at URL: http://eprints.lse.ac.uk/87227/1/Geneletti__missing-data.pdf

zbMATH Keywords

missing dataconditional independencetaxonomydropout

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Extended missing data imputation via GANs for ranking applications ⋮ A split questionnaire survey design in the context of statistical matching ⋮ Graphical Models for Processing Missing Data

Cites Work

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• Pattern-mixture models with proper time dependence
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies
• Ignorability for general longitudinal data
• Can one assess whether missing data are missing at random in medical studies?

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