From: Bayesian variable selection for parametric survival model with applications to cancer omics data
Method | Scenario 1 (p = 1000) | Scenario 2 (p = 5000) | ||||
---|---|---|---|---|---|---|
TPR | FPR | FDR | TPR | FPR | FDR | |
LASSO.se | 0.657 | 1.25E−03 | 0.239 | 0.327 | 1.36E−04 | 0.258 |
LASSO.min | 0.920 | 2.11E−02 | 0.792 | 0.713 | 4.60E−03 | 0.843 |
EBIC (τ = 0) | 0.743 | 1.19E−03 | 0.209 | 0.703 | 5.78E−03 | 0.872 |
EBIC (τ = 0.5) | 0.730 | 7.85E−04 | 0.151 | 0.480 | 1.48E−04 | 0.204 |
EBIC (τ = 1.0) | 0.710 | 6.24E−04 | 0.127 | 0.377 | 2.00E−05 | 0.042 |