Table 5 Strict and individual statistical power for methods using fixed or adaptive thresholds for Example 3
From: An adaptive threshold determination method of feature screening for genomic selection
Methods | Average \(\hat {d}\) | P a | P 100 | P 200 | P 300 | P 400 | P 500 |
DC-SIS (d=37) | 37 | 12% | 100% | 83% | 93% | 100% | 100% |
DC-SIS (d=74) | 74 | 44% | 100% | 99% | 100% | 100% | 100% |
IDC-SIS (d=37) | 37 | 92% | 100% | 100% | 98% | 100% | 100% |
IDC-SIS (d=74) | 74 | 100% | 100% | 100% | 100% | 100% | 100% |
BE-IDC | 21.35 | 100% | 100% | 100% | 100% | 100% | 100% |
Methods | P 600 | P 700 | P 800 | P 900 | P 1000 | Average MSPE | Â |
DC-SIS (d=37) | 100% | 81% | 99% | 100% | 22% | 4.23 | Â |
DC-SIS (d=74) | 100% | 98% | 100% | 100% | 46% | 3.68 | Â |
IDC-SIS (d=37) | 100% | 95% | 99% | 100% | 100% | 1.44 | Â |
IDC-SIS (d=74) | 100% | 100% | 100% | 100% | 100% | 1.84 | Â |
BE-IDC | 100% | 100% | 100% | 100% | 100% | 1.17 | Â |