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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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| Pubblicato in: | BMC Med Res Methodol |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7422505/ https://ncbi.nlm.nih.gov/pubmed/32787781 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-020-01079-8 |
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