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Table 4 Median (minimum, maximum) number of correctly identified non-zero and zero coefficients, N = 500, 1000 simulated datasets

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

Scenario

1

2

3

4

5

Type

Non-Zero

Zero

Non-Zero

Zero

Non-Zero

Zero

Non-Zero

Zero

Non-Zero

Zero

Truth

5

95

5

95

5

95

5

95

20

80

Overweight

 LASSO

1 (0,5)

93 (59,95)

2 (0,5)

92 (54,95)

5 (2,5)

82 (50,95)

3 (2,5)

90 (50,95)

11 (5,16)

75 (46,80)

 Adaptive LASSO

2 (0,5)

81 (51,95)

2 (0,4)

84 (55,95)

5 (3,5)

81 (55,95)

4 (1,5)

81 (54,95)

7 (3,14)

68 (45,80)

 Elastic Net

2 (0,5)

85 (0,95)

3 (0,5)

86 (0,95)

5 (3,5)

78 (16,95)

4 (2,5)

87 (36,95)

14 (6,20)

66.5 (0,80)

 Iterated LASSO

1 (0,5)

93 (66,95)

2 (0,5)

92 (62,95)

5 (2,5)

84 (62,95)

3 (1,5)

91 (60,95)

8 (3,14)

76 (52,80)

 Bootstrap-Enhanced LASSO-75

2 (0,5)

87 (69,95)

1 (0,3)

87 (68,95)

5 (3,5)

84 (62,94)

3 (1,5)

85 (65,95)

8 (4,13)

72 (54,80)

 Weighted Fusion

3 (0,5)

85 (0,95)

5 (0,5)

85 (0,95)

5 (3,5)

89 (34,94)

3 (2,5)

89 (0,94)

20 (6,20)

43 (0,80)

Obese

 LASSO

4 (1,5)

84 (55,95)

3 (1,5)

91 (57,95)

5 (4,5)

77.5 (46,94)

4 (3,5)

85 (49,95)

16 (10,20)

67 (42,80)

 Adaptive LASSO

4 (1,5)

80 (48,95)

3 (1,5)

83 (50,95)

5 (4,5)

81 (52,95)

4 (2,5)

82 (50,95)

11 (6,16)

63 (42,80)

 Elastic Net

5 (1,5)

80 (0,95)

3 (1,5)

87 (0,95)

5 (4,5)

74 (26,95)

4 (3,5)

79 (13,95)

17 (10,20)

55 (0,78)

 Iterated LASSO

4 (1,5)

86 (60,95)

3 (1,5)

91 (64,95)

5 (4,5)

84 (64,95)

4 (2,5)

88 (59,95)

12 (6,17)

75 (59,80)

 Bootstrap-Enhanced LASSO-75

4 (2,5)

85 (64,94)

2 (1,5)

87 (72,95)

5 (4,5)

87 (76,95)

4 (2,5)

89 (79,95)

12 (7,17)

76 (70,80)

 Weighted Fusion

5 (1,5)

62 (0,95)

3 (1,5)

94 (0,95)

5 (4,5)

74 (13,88)

4 (3,5)

77 (30,95)

20 (10,20)

51 (0,80)