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Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables()
Multiple imputation is a popular way to handle missing data. Automated procedures are widely available in standard software. However, such automated procedures may hide many assumptions and possible difficulties from the view of the data analyst. Imputation procedures such as monotone imputation and...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
North-Holland Pub. Co
2010
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3990447/ https://ncbi.nlm.nih.gov/pubmed/24748700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2010.04.005 |
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