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Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research
BACKGROUND: Multiple imputation is becoming increasingly popular. Theoretical considerations as well as simulation studies have shown that the inclusion of auxiliary variables is generally of benefit. METHODS: A simulation study of a linear regression with a response Y and two predictors X(1) and X(...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538666/ https://www.ncbi.nlm.nih.gov/pubmed/23216665 http://dx.doi.org/10.1186/1471-2288-12-184 |