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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Détails bibliographiques
Publié dans:BMC Med Res Methodol
Auteurs principaux: Huque, Md Hamidul, Carlin, John B., Simpson, Julie A., Lee, Katherine J.
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2018
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6292063/
https://ncbi.nlm.nih.gov/pubmed/30541455
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-018-0615-6
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