Caricamento...
Penalized logistic regression with low prevalence exposures beyond high dimensional settings
Estimating and selecting risk factors with extremely low prevalences of exposure for a binary outcome is a challenge because classical standard techniques, markedly logistic regression, often fail to provide meaningful results in such settings. While penalized regression methods are widely used in h...
Salvato in:
| Pubblicato in: | PLoS One |
|---|---|
| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2019
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6527211/ https://ncbi.nlm.nih.gov/pubmed/31107924 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0217057 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|