Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches

BACKGROUND: Social-environmental data obtained from the US Census is an important resource for understanding health disparities, but rarely is the full dataset utilized for analysis. A barrier to incorporating the full data is a lack of solid recommendations for variable selection, with researchers...

Descripción completa

Detalles Bibliográficos
Autores principales: Handorf, Elizabeth, Yin, Yinuo, Slifker, Michael, Lynch, Shannon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727197/
https://www.ncbi.nlm.nih.gov/pubmed/33302880
http://dx.doi.org/10.1186/s12874-020-01183-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727197/
https://www.ncbi.nlm.nih.gov/pubmed/33302880
http://dx.doi.org/10.1186/s12874-020-01183-9

Ejemplares similares