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