A comparison of penalised regression methods for informing the selection of predictive markers.
<h4>Background</h4>Penalised regression methods are a useful atheoretical approach for both developing predictive models and selecting key indicators within an often substantially larger pool of available indicators. In comparison to traditional methods, penalised regression models impro...
Main Authors: | Christopher J Greenwood, George J Youssef, Primrose Letcher, Jacqui A Macdonald, Lauryn J Hagg, Ann Sanson, Jenn Mcintosh, Delyse M Hutchinson, John W Toumbourou, Matthew Fuller-Tyszkiewicz, Craig A Olsson |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0242730 |
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