Evaluation of approaches for multiple imputation of three-level data

BACKGROUND: Three-level data arising from repeated measures on individuals who are clustered within larger units are common in health research studies. Missing data are prominent in such longitudinal studies and multiple imputation (MI) is a popular approach for handling missing data. Extensions of...

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Detalles Bibliográficos
Autores principales: Wijesuriya, Rushani, Moreno-Betancur, Margarita, Carlin, John B., Lee, Katherine J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422505/
https://www.ncbi.nlm.nih.gov/pubmed/32787781
http://dx.doi.org/10.1186/s12874-020-01079-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422505/
https://www.ncbi.nlm.nih.gov/pubmed/32787781
http://dx.doi.org/10.1186/s12874-020-01079-8

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