Multiple imputation by predictive mean matching in cluster-randomized trials

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 misspecification of...

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Detalles Bibliográficos
Autores principales: Bailey, Brittney E., Andridge, Rebecca, Shoben, Abigail B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106802/
https://www.ncbi.nlm.nih.gov/pubmed/32228491
http://dx.doi.org/10.1186/s12874-020-00948-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106802/
https://www.ncbi.nlm.nih.gov/pubmed/32228491
http://dx.doi.org/10.1186/s12874-020-00948-6

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