Načítá se...
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...
Uloženo v:
| Vydáno v: | BMC Med Res Methodol |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2018
|
| Témata: | |
| On-line přístup: | 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 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|