Improved Variable Selection Algorithm Using a LASSO-Type Penalty, with an Application to Assessing Hepatitis B Infection Relevant Factors in Community Residents

OBJECTIVES: In epidemiological studies, it is important to identify independent associations between collective exposures and a health outcome. The current stepwise selection technique ignores stochastic errors and suffers from a lack of stability. The alternative LASSO-penalized regression model ca...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Guo, Pi, Zeng, Fangfang, Hu, Xiaomin, Zhang, Dingmei, Zhu, Shuming, Deng, Yu, Hao, Yuantao
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2015
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4516242/
https://ncbi.nlm.nih.gov/pubmed/26214802
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0134151
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