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Variable selection in the presence of missing data: resampling and imputation
In the presence of missing data, variable selection methods need to be tailored to missing data mechanisms and statistical approaches used for handling missing data. We focus on the mechanism of missing at random and variable selection methods that can be combined with imputation. We investigate a g...
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| Publicado no: | Biostatistics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5156376/ https://ncbi.nlm.nih.gov/pubmed/25694614 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxv003 |
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