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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Musoro, Jammbe Z, Zwinderman, Aeilko H, Puhan, Milo A, ter Riet, Gerben, Geskus, Ronald B
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2014
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4209042/
https://ncbi.nlm.nih.gov/pubmed/25323009
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-14-116
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires