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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...
Tallennettuna:
| Julkaisussa: | BMC Med Res Methodol |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2018
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| Aiheet: | |
| Linkit: | 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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