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A comparison of model selection methods for prediction in the presence of multiply imputed data
Many approaches for variable selection with multiply imputed data in the development of a prognostic model have been proposed. However, no method prevails as uniformly best. We conducted a simulation study with a binary outcome and a logistic regression model to compare two classes of variable selec...
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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.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6492211/ https://ncbi.nlm.nih.gov/pubmed/30353591 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.201700232 |
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