From: Bayesian meta-analysis models for microarray data: a comparative study
 |  | p s = 5% | p s = 10% | p s = 25% | |||
---|---|---|---|---|---|---|---|
Five-Study Simulation Data | SEI | PI | SEI | PI | SEI | PI | |
Low : mean = 0.1 (DE); 0.01(non DE) | t IRR, γ = 0.95 | 13.7% | 34.7% | 3.8% | 20.6% | 0% | 11.4% |
 | t IRR, γ = 0.95 | 4.5% | 0% | 6.7% | 0.6% | 15.4% | 1.4% |
 | True Genes, pe FDR = 5% | 88 | 106 | 187 | 215 | 496 | 576 |
Medium : mean = 0.3 (DE); 0.03 (non DE) | t IDR, γ = 0.95 | 7.2% | 21.3% | 2.2% | 15.2% | 0% | 6.7% |
 | t IRR, γ = 0.95 | 9.4% | 0% | 10.2% | 3.6% | 16.8% | 3.0% |
 | True Genes, pe FDR = 5% | 99 | 118 | 212 | 241 | 571 | 642 |
High : mean = 0.7 (DE); 0.07 (non DE) | t IDR, γ = 0.95 | 3.8% | 13.3% | 0% | 5.4% | 0% | 3.4% |
 | t IRR, γ = 0.95 | 9.8% | 0.9% | 7.9% | 2.8% | 10.7% | 3.5% |
 | True Genes, pe FDR = 5% | 122 | 135 | 259 | 270 | 654 | 688 |