From: New adaptive lasso approaches for variable selection in automated pharmacovigilance signal detection
Methods | False Discovery Rate | ||
---|---|---|---|
scenario 1: β0=−2 | scenario 2: β0=−4 | scenario 3: β0=−6 | |
RFET | 0.00 (0.00) | 0.01 (0.09) | 0.00 (0.04) |
lasso-cv | 0.31 (0.46) | 0.28 (0.45) | 0.12 (0.26) |
lasso-bic | 0.12 (0.33) | 0.10 (0.30) | 0.07 (0.26) |
lasso-perm | 0.37 (0.46) | 0.41 (0.49) | 0.35 (0.48) |
CISL | 0.06 (0.23) | 0.04 (0.20) | 0.18 (0.38) |
adapt-bic | 0.11 (0.32) | 0.10 (0.30) | 0.07 (0.26) |
adapt-cisl | 0.13 (0.33) | 0.11 (0.32) | 0.09 (0.29) |
ps-adjust | 0.01 (0.12) | 0.15 (0.35) | 0.14 (0.35) |
ps-mw | 0.00 (0.00) | 0.00 (0.00) | 0.00 (0.00) |
ps-iptw | 0.99 (0.10) | 1.00 (0.00) | 1.00 (0.00) |
ps-iptwT | 0.23 (0.42) | 0.35 (0.48) | 0.29 (0.45) |