Table 4.
Performance of mapping algorithms in different ranges of observed EQ-5D
| Mapping algorithm | Observed UK EQ-5D values of 0.75-1.00 used (n = 91) | Observed UK EQ-5D values of 0.50-0.75 used (n = 114) | Observed UK EQ-5D values of less than 0.50 used (n = 45) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Mean predicted EQ-5D (observed) | MAE | RMSE | Mean predicted EQ-5D (observed) | MAE | RMSE | Mean predicted EQ-5D (observed) | MAE | RMSE | |
| Crott | 0.8433 (0.8750) | 0.0851 | 0.1086 | 0.6873 (0.6615) | 0.1159 | 0.1457 | 0.4639 (0.2064) | 0.2656 | 0.3040 |
| Jang | 0.8316 (0.8909) | 0.0608 | 0.1033 | 0.6773 (0.7410) | 0.0637 | 0.1230 | 0.5397 (0.4518) | 0.0879 | 0.1462 |
| Kim EJ | 0.9430 (0.8826) | 0.0604 | 0.0994 | 0.8219 (0.7111) | 0.1108 | 0.1343 | 0.7321 (0.4991) | 0.2330 | 0.2527 |
| Kim SH | 0.8937 (0.8826) | 0.0111 | 0.0767 | 0.7758 (0.7111) | 0.0646 | 0.0968 | 0.6774 (0.4991) | 0.1783 | 0.2031 |
| Kontodimopoulos | 0.9145 (0.8750) | 0.1225 | 0.1569 | 0.6532 (0.6615) | 0.1414 | 0.1854 | 0.4215 (0.2064) | 0.2684 | 0.3271 |
| Longworth | 0.8105 (0.8750) | 0.0667 | 0.1196 | 0.6176 (0.6615) | 0.0439 | 0.1556 | 0.3734 (0.2064) | 0.1671 | 0.2496 |
| McKenzie | 0.8206 (0.8750) | 0.1180 | 0.1559 | 0.5954 (0.6615) | 0.1496 | 0.1937 | 0.3377 (0.2064) | 0.1804 | 0.2200 |
| Proskorovsky | 0.7481 (0.8750) | 0.1268 | 0.1622 | 0.5596 (0.6615) | 0.1019 | 0.1673 | 0.4206 (0.2064) | 0.2143 | 0.2634 |
| Versteegh | 0.8967 (0.8978) | 0.0010 | 0.0893 | 0.7387 (0.7134) | 0.0255 | 0.1473 | 0.5579 (0.3296) | 0.2282 | 0.3598 |