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Variable Selection in the Presence of Missing Data: Imputation-based Methods
Variable selection plays an essential role in regression analysis as it identifies important variables that associated with outcomes and is known to improve predictive accuracy of resulting models. Variable selection methods have been widely investigated for fully observed data. However, in the pres...
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| Publicado no: | Wiley Interdiscip Rev Comput Stat |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5659333/ https://ncbi.nlm.nih.gov/pubmed/29085552 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/wics.1402 |
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