Skip to main content

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