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. Author manuscript; available in PMC: 2013 Mar 1.
Published in final edited form as: J Am Stat Assoc. 2012 Jun 11;107(497):214–222. doi: 10.1080/01621459.2012.656014

Table 2.

Simulation results (p = 600)

Method Size P1 P2 AE
LS-Lasso 24.30 (0.61) 100% 7% 1.40 (0.03)
Q-Lasso (τ = 0.5) 25.76 (0.94) 100% 10% 1.05 (0.03)
Q-Lasso (τ = 0.3) 34.02 (1.27) 93% 93% 1.82 (0.06)
Q-Lasso (τ = 0.7) 32.74 (1.22) 90% 90% 1.78 (0.05)

LS-ALasso 4.68 (0.08) 100% 0% 0.37(0.02)
Q-Alasso (τ = 0.5) 4.53 (0.09) 100% 0% 0.18 (0.01)
Q-Alasso (τ = 0.3) 6.58 (0.21) 100% 86% 0.67 (0.02)
Q-Alasso (τ = 0.7) 6.19 (0.16) 100% 86% 0.62 (0.01)

LS-SCAD 6.04 (0.25) 100% 0% 0.38 (0.02)
Q-SCAD (τ = 0.5) 6.14 (0.36) 100% 7% 0.19 (0.01)
Q-SCAD (τ = 0.3) 9.02 (0.45) 94% 94% 0.40 (0.03)
Q-SCAD (τ = 0.7) 9.97 (0.54) 100% 100% 0.38 (0.03)

LS-MCP 5.56 (0.19) 100% 0% 0.38 (0.02)
Q-MCP (τ = 0.5) 5.33 (0.23) 100% 3% 0.18 (0.01)
Q-MCP (τ = 0.3) 6.98 (0.28) 94% 94% 0.38 (0.03)
Q-MCP (τ = 0.7) 7.56 (0.32) 98% 98% 0.37 (0.03)