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A comparison of multiple imputation methods for missing data in longitudinal studies

BACKGROUND: Multiple imputation (MI) is now widely used to handle missing data in longitudinal studies. Several MI techniques have been proposed to impute incomplete longitudinal covariates, including standard fully conditional specification (FCS-Standard) and joint multivariate normal imputation (J...

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Detalles Bibliográficos
Autores principales:	Huque, Md Hamidul, Carlin, John B., Simpson, Julie A., Lee, Katherine J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292063/ https://www.ncbi.nlm.nih.gov/pubmed/30541455 http://dx.doi.org/10.1186/s12874-018-0615-6

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