Nonparametric Bayesian Multiple Imputation for Missing Data Due to Mid-Study Switching of Measurement Methods

DOI10.1080/01621459.2011.643713zbMath1328.62021OpenAlexW2168730578MaRDI QIDQ4916474

Jerome P. Reiter, Lane F. Burgette

Publication date: 22 April 2013

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2011.643713

zbMATH Keywords

Gaussian processpermutationrankDirichlet processfusion

Mathematics Subject Classification ID

Bayesian inference (62F15) Nonparametric inference (62G99)

Related Items

An imputation approach for handling mixed-mode surveys ⋮ Propensity score estimation using classification and regression trees in the presence of missing covariate data

Uses Software

• R
• MICE

Cites Work

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