Table 5 Performance in Model 2 according to EQ-5D quartile in the derivation and validation sets
From: Mapping EORTC QLQ-C30 onto EQ-5D for the assessment of cancer patients
| Â | Derivation set | Â | Validation set | Â |
|---|---|---|---|---|
The lowest quartile | ||||
N | 224 | Â | 33 | Â |
RMSE (% RMSE) | 0.137 (11.7) | Â | 0.119 (10.2) | Â |
MAE (SD) | 0.100 (0.093) | Â | 0.060 (0.057) | Â |
EQ-5D index | Actual | Predict | Actual | Predict |
Mean (SD) | 0.647 (0.125) | 0.726 (0.093) | 0.723 (0.070) | 0.806 (0.086) |
The highest quartile | ||||
N | 267 | Â | 37 | Â |
RMSE (% RMSE) | 0.087 (8.7) | Â | 0.003 (0.27) | Â |
MAE (SD) | 0.067 (0.055) | Â | 0.060 (0.049) | Â |
EQ-5D index | Actual | Predict | Actual | Predict |
Mean (SD) | 0.960 (0.045) | 0.902 (0.057) | 1.000(0.000) | 0.940 (0.049) |