Multiple imputation by predictive mean matching in cluster-randomized trials

Multiple imputation by predictive mean matching in cluster-randomized trials

Abstract Background Random effects regression imputation has been recommended for multiple imputation (MI) in cluster randomized trials (CRTs) because it is congenial to analyses that use random effects regression. This method relies heavily on model assumptions and may not be robust to misspecifica...

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Bibliographic Details
Main Authors: Brittney E. Bailey, Rebecca Andridge, Abigail B. Shoben
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Medical Research Methodology
Subjects:
Missing data
Cluster-randomized trial
Predictive mean matching
Multiple imputation
Online Access:http://link.springer.com/article/10.1186/s12874-020-00948-6

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http://link.springer.com/article/10.1186/s12874-020-00948-6

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