A comparison of penalised regression methods for informing the selection of predictive markers.

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...

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Bibliographic Details
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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0242730

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https://doi.org/10.1371/journal.pone.0242730

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