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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Detalles Bibliográficos
Autores principales: Guo, Pi, Zeng, Fangfang, Hu, Xiaomin, Zhang, Dingmei, Zhu, Shuming, Deng, Yu, Hao, Yuantao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4516242/
https://www.ncbi.nlm.nih.gov/pubmed/26214802
http://dx.doi.org/10.1371/journal.pone.0134151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4516242/
https://www.ncbi.nlm.nih.gov/pubmed/26214802
http://dx.doi.org/10.1371/journal.pone.0134151

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