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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...
Guardat en:
| Publicat a: | Biom J |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
John Wiley and Sons Inc.
2024
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| Matèries: | |
| Accés en línia: | 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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