Table 2.
Performance of OMDR
| Single-locus classifier | Two-locus classifier | Three-locus classifier | ||||||||||
| EP (SEP) | GCVC | TSTB | TRTB | EP | GCVC | TSTB | TRTB | EP (TEP) | GCVC | TSTB | TRTB | |
| Model 11 | 0.38 (0.25) | 0.689 | 0.055 | 0.097 | 1.00 | 1.000 | 0.444 | 0.443 | 1.00 (0.05) | 0.514 | 0.429 | 0.455 |
| Model 12 | 0.27 (0.14) | 0.667 | 0.043 | 0.093 | 1.00 | 1.000 | 0.264 | 0.278 | 1.00 (0.05) | 0.518 | 0.256 | 0.315 |
| Model 13 | 0.26 (0.16) | 0.615 | 0.046 | 0.095 | 0.93 | 0.883 | 0.139 | 0.174 | 0.87 (0.05) | 0.458 | 0.128 | 0.224 |
| Model 21 | 1.00 (0.55) | 0.883 | 0.159 | 0.175 | 1.00 | 1.000 | 0.395 | 0.401 | 1.00 (0.04) | 0.480 | 0.388 | 0.417 |
| Model 22 | 0.99 (0.53) | 0.881 | 0.150 | 0.167 | 1.00 | 1.000 | 0.297 | 0.306 | 1.00 (0.05) | 0.432 | 0.267 | 0.330 |
| Model 23 | 0.95 (0.54) | 0.874 | 0.115 | 0.134 | 0.99 | 0.993 | 0.230 | 0.249 | 1.00 (0.08) | 0.504 | 0.224 | 0.292 |
| Model 31 | 1.00 (1.00) | 1.000 | 0.225 | 0.229 | 1.00 | 1.000 | 0.514 | 0.513 | 1.00 (0.03) | 0.507 | 0.505 | 0.527 |
| Model 32 | 1.00 (1.00) | 0.997 | 0.192 | 0.197 | 1.00 | 1.000 | 0.373 | 0.375 | 1.00 (0.06) | 0.531 | 0.356 | 0.397 |
| Model 33 | 0.44 (0.31) | 0.714 | 0.061 | 0.099 | 1.00 | 0.997 | 0.194 | 0.208 | 0.99 (0.05) | 0.537 | 0.185 | 0.245 |
| Model 41 | 1.00 (0.56) | 0.904 | 0.131 | 0.144 | 1.00 | 0.999 | 0.252 | 0.264 | 1.00 (0.06) | 0.544 | 0.255 | 0.300 |
| Model 42 | 1.00 (0.55) | 0.887 | 0.149 | 0.164 | 0.90 | 0.883 | 0.204 | 0.217 | 0.94 (0.05) | 0.454 | 0.189 | 0.247 |
| Model 43 | 0.73 (0.41) | 0.816 | 0.083 | 0.107 | 0.28 | 0.485 | 0.068 | 0.146 | 0.23 (0.02) | 0.346 | 0.061 | 0.197 |
| Model 51 | 1.00 (0.51) | 0.865 | 0.341 | 0.355 | 1.00 | 1.000 | 0.478 | 0.484 | 1.00 (0.05) | 0.480 | 0.477 | 0.512 |
| Model 52 | 1.00 (0.51) | 0.885 | 0.247 | 0.263 | 1.00 | 0.998 | 0.334 | 0.344 | 1.00 (0.05) | 0.473 | 0.325 | 0.377 |
| Model 53 | 0.91 (0.46) | 0.860 | 0.092 | 0.117 | 0.38 | 0.557 | 0.086 | 0.153 | 0.47 (0.04) | 0.426 | 0.099 | 0.204 |
| Average | 0.80 (0.50) | 0.836 | 0.139 | 0.162 | 0.90 | 0.920 | 0.285 | 0.304 | 0.90 (0.05) | 0.483 | 0.276 | 0.336 |
It is presented with EP (empirical power), average GCVC (K = 1), average TSTB (testing tau-b), average TRTB (training tau-b), and their average values over models. Note that true causal factor was a two-locus classifier (i.e., two-way interaction). SEP indicates EP of single-locus classifier whose EP is largest among all single-locus classifiers included in the true causal interaction. TEP indicates EP of three-locus classifier whose EP is largest among all three-locus classifiers containing the true causal interaction.