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A comparison of strategies for selecting auxiliary variables for multiple imputation
Multiple imputation (MI) is a popular method for handling missing data. Auxiliary variables can be added to the imputation model(s) to improve MI estimates. However, the choice of which auxiliary variables to include is not always straightforward. Several data‐driven auxiliary variable selection str...
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| Publicado no: | Biom J |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2024
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7615727/ https://ncbi.nlm.nih.gov/pubmed/38285405 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.202200291 |
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