Multiple imputation for discrete data: Evaluation of the joint latent normal model

DOI10.1002/bimj.201800222zbMath1429.62595OpenAlexW2922027786WikidataQ92348220 ScholiaQ92348220MaRDI QIDQ5208174

James Carpenter, Matteo Quartagno

Publication date: 15 January 2020

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201800222

zbMATH Keywords

missing datamultiple imputationjoint modelcategorical datalatent normal model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data ⋮ Missing data: A statistical framework for practice ⋮ jomo

Uses Software

• R
• MICE
• REALCOM
• countimp

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