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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Bibliografische gegevens
Gepubliceerd in:Biom J
Hoofdauteurs: Mainzer, Rheanna M., Nguyen, Cattram D., Carlin, John B., Moreno‐Betancur, Margarita, White, Ian R., Lee, Katherine J.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: John Wiley and Sons Inc. 2024
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Research Articles
Online toegang: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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