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Table 6 Error measurements for predicting utility values based on OHS and OKS, according to the distribution of expressed utilities. Validation sample

From: Mapping analysis to predict EQ-5D-5 L utility values based on the Oxford Hip Score (OHS) and Oxford Knee Score (OKS) questionnaires in the Spanish population suffering from lower limb osteoarthritis

  Hip osteoarthritis, OHS,n = 301
MAE
Utility score ≥ mediana Utility score < mediana
Model Dependent Variable   
OLS Utility 0.1137 (0.0981–0.1293) 0.1576 (0.1374–0.1777)
Tobit Utility 0.1031 (0.0885–0.1177) 0.1518 (0.1325–0.1711)
GLM Utility 0.0857 (0.0742–0.0973) 0.1410 (0.1213–0.1711)
Beta reg Utility 0.0941 (0.0801–0.1080) 0.1536 (0.1330–0.1741)
  Knee osteoarthritis, OKS,n = 313
MAE
Utility score ≥ medianb Utility score < medianb
Model Dependent Variable   
OLS Utility 0.1106 (0.0969–0.1243) 0.1470 (0.1279–0.1661)
Tobit Utility 0.1031 (0.0899–0.1164) 0.1451 (0.1259–0.1642)
GLM Utility 0.0869 (0.0758–0.0980) 0.1389 (0.1204–0.1575)
Beta reg Utility 0.0899 (0.0782–0.1016) 0.1389 (0.1208–0.1570)
  1. aMedian utility value (Hip osteoarthritis): 0.6973
  2. bMedian utility value (Knee osteoarthritis): 0.6852
  3. OLS Ordinary least squares
  4. GLM Generalized linear model. Link function: log. Distributional family: Gaussian
  5. Beta reg Beta regression
  6. MAE Mean absolute error
  7. CI 95% in parentheses