A comparison of penalised regression methods for informing the selection of predictive markers

BACKGROUND: Penalised regression methods are a useful atheoretical approach for both developing predictive models and selecting key indicators within an often substantially larger pool of available indicators. In comparison to traditional methods, penalised regression models improve prediction in ne...

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Detalles Bibliográficos
Autores principales: Greenwood, Christopher J., Youssef, George J., Letcher, Primrose, Macdonald, Jacqui A., Hagg, Lauryn J., Sanson, Ann, Mcintosh, Jenn, Hutchinson, Delyse M., Toumbourou, John W., Fuller-Tyszkiewicz, Matthew, Olsson, Craig A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678959/
https://www.ncbi.nlm.nih.gov/pubmed/33216811
http://dx.doi.org/10.1371/journal.pone.0242730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678959/
https://www.ncbi.nlm.nih.gov/pubmed/33216811
http://dx.doi.org/10.1371/journal.pone.0242730

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