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

• Published in: BMC medical research methodology Vol. 16; no. 1; pp. 154 - 19
• Main Authors: Vasquez, Monica M., Hu, Chengcheng, Roe, Denise J., Chen, Zhao, Halonen, Marilyn, Guerra, Stefano
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 14.11.2016; BioMed Central; BMC
• Subjects: Algorithms; Area Under Curve; Biological markers; Biomarkers; Biomarkers - blood; High-Dimensional; Humans; Identification and classification; LASSO; Logistic Models; Medical research; Medicine, Experimental; Methods; Models, Biological; Obesity; Obesity - blood; Obesity - diagnosis; Overweight; Overweight - blood; Overweight - diagnosis; ROC Curve; Biomarkers; Obesity; High-Dimensional; LASSO; Overweight

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 method that may be ut...