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Table 1 Scenarios applied to each LASSO method

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

Scenario # Non-zero coefficients Correlation among predictors Non-zero coefficients in binary logistic regression models
Overweight Obese
1 5 0.2 0.05, -0.05, 0.1, 0.15, 0.2 0.2, 0.4, 0.6, -0.6, 0.8
2 5 0.8 0.05, -0.05, 0.1, 0.15, 0.2 0.2, 0.4, 0.6, -0.6, 0.8
3 5 0.2 0.2, 0.4, 0.6, -0.6, 0.8 1, -1, 1.25, 1.5, 1.75
4 5 0.8 0.2, 0.4, 0.6, -0.6, 0.8 1, -1, 1.25, 1.5, 1.75
5 20 0.5 0.01,0.2 from uniform distribution 0.1,0.99 from uniform distribution