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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

  Derivation set   Validation set  
The lowest quartile
N 224   33  
RMSE (% RMSE) 0.137 (11.7)   0.119 (10.2)  
MAE (SD) 0.100 (0.093)   0.060 (0.057)  
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   37  
RMSE (% RMSE) 0.087 (8.7)   0.003 (0.27)  
MAE (SD) 0.067 (0.055)   0.060 (0.049)  
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)