Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application

Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application

Abstract Background The study of circulating biomarkers and their association with disease outcomes has become progressively complex due to advances in the measurement of these biomarkers through multiplex technologies. The Least Absolute Shrinkage and Selection Operator (LASSO) is a data analysis m...

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Bibliographic Details
Main Authors: Monica M. Vasquez, Chengcheng Hu, Denise J. Roe, Zhao Chen, Marilyn Halonen, Stefano Guerra
Format: Article
Language:English
Published: BMC 2016-11-01
Series:BMC Medical Research Methodology
Subjects:
LASSO
Biomarkers
High-Dimensional
Obesity
Overweight
Online Access:http://link.springer.com/article/10.1186/s12874-016-0254-8

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http://link.springer.com/article/10.1186/s12874-016-0254-8

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