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Validation of prediction models based on lasso regression with multiply imputed data
BACKGROUND: In prognostic studies, the lasso technique is attractive since it improves the quality of predictions by shrinking regression coefficients, compared to predictions based on a model fitted via unpenalized maximum likelihood. Since some coefficients are set to zero, parsimony is achieved a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209042/ https://www.ncbi.nlm.nih.gov/pubmed/25323009 http://dx.doi.org/10.1186/1471-2288-14-116 |