Table 11.
Power comparison of GPNN, Stepwise Logistic Regression (SLR), Explicit Logistic Regression (eLR), and Classification and Regression Trees (CART)
| Model | Power (%) | |||||
|---|---|---|---|---|---|---|
| # Genes |
Allele frequency |
h2 | GPNN | SLR | eLR | CART |
| 2 | 0.2/0.8 | 0.030 | 100 | 0 | 92 | 53 |
| 2 | 0.2/0.8 | 0.020 | 96 | 0 | 61 | 25 |
| 2 | 0.2/0.8 | 0.015 | 89 | 0 | 100 | 23 |
| 2 | 0.2/0.8 | 0.010 | 76 | 0 | 60 | 8 |
| 2 | 0.2/0.8 | 0.005 | 27 | 0 | 64 | 5 |
| 2 | 0.4/0.6 | 0.030 | 100 | 0 | 7 | 25 |
| 2 | 0.4/0.6 | 0.020 | 99 | 0 | 5 | 22 |
| 2 | 0.4/0.6 | 0.015 | 100 | 0 | 29 | 17 |
| 2 | 0.4/0.6 | 0.010 | 83 | 0 | 44 | 6 |
| 2 | 0.4/0.6 | 0.005 | 20 | 0 | 89 | 7 |
| 3 | 0.2/0.8 | 0.030 | 88 | 0 | 25 | 22 |
| 3 | 0.2/0.8 | 0.020 | 77 | 0 | 16 | 11 |
| 3 | 0.2/0.8 | 0.015 | 4 | 0 | 2 | 11 |
| 3 | 0.2/0.8 | 0.010 | 1 | 0 | 5 | 2 |
| 3 | 0.2/0.8 | 0.005 | 5 | 0 | 2 | 0 |
| 3 | 0.4/0.6 | 0.030 | 65 | 0 | 0 | 10 |
| 3 | 0.4/0.6 | 0.020 | 15 | 0 | 7 | 3 |
| 3 | 0.4/0.6 | 0.015 | 9 | 0 | 0 | 4 |
| 3 | 0.4/0.6 | 0.010 | 1 | 0 | 12 | 4 |
| 3 | 0.4/0.6 | 0.005 | 1 | 0 | 2 | 1 |