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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422505/ https://www.ncbi.nlm.nih.gov/pubmed/32787781 http://dx.doi.org/10.1186/s12874-020-01079-8 |