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

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

Abstract 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 rese...

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Bibliographic Details
Main Authors: Elizabeth Handorf, Yinuo Yin, Michael Slifker, Shannon Lynch
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Medical Research Methodology
Subjects:
Variable selection
Social environment
Online Access:https://doi.org/10.1186/s12874-020-01183-9

Internet

https://doi.org/10.1186/s12874-020-01183-9

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