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Table 2 Mean (SD) of final model size for the training sets over 300 simulations

From: Combined performance of screening and variable selection methods in ultra-high dimensional data in predicting time-to-event outcomes

Selection approach

Weak signal

Strong signal

n = 150

n = 300

n = 150

n = 300

ISIS-LASSO

1.087 (1.130)

6.010 (0.672)

2.567 (2.265)

6.073 (0.261)

ISIS-ALASSO

0.993 (0.925)

5.943 (0.732)

2.397 (2.164)

6.033 (0.180)

ISIS-RSF

2.463 (0.550)

6.007 (0.954)

3.367 (1.777)

6.033 (0.304)

SIS

2.277 (0.448)

3.120 (0.925)

2.477 (0.500)

4.380 (0.955)

SIS-LASSO

0.773 (0.955)

3.033 (1.014)

1.217 (0.945)

4.377 (0.951)

SIS-ALASSO

0.750 (0.737)

3.003 (1.049)

1.100 (0.824)

4.373 (0.951)

SIS-RSF

2.057 (0.644)

3.033 (1.037)

2.240 (0.719)

4.327 (0.961)

PSIS

132.183 (11.557)

120.440 (10.707)

129.980 (11.203)

119.103 (10.702)

PSIS-LASSO

69.850 (7.238)

78.503 (7.301)

63.170 (7.212)

65.473 (6.786)

PSIS-ALASSO

52.613 (6.344)

49.007 (7.881)

42.487 (8.784)

32.067 (9.986)

PSIS-RSF

44.26 (10.512)

16.033 (5.713)

42.667 (11.009)

15.113 (5.159)

LASSO

26.619 (11.320)

61.437 (13.310)

58.347 (10.184)

108.470 (14.364)

ALASSO

19.948 (7.318)

45.010 (8.276)

33.793 (7.738)

67.147 (9.422)

  1. SD standard deviation