Skip to main content

Table 3 Model performance based on the estimation sample (n = 1001)

From: Estimating EQ-5D utilities based on the Short-Form Long Term Conditions Questionnaire (LTCQ-8)

  EQ-5D-5L utility Model rank EQ-5D-3L utility Model rank
Model MSE (MAE) MSE MAE MSE (MAE) MSE MAE
1. OLS 0.0390 (0.1486) 2 2 0.0525 (0.1732) 2a 3
2. Tobit 0.0397 (0.1490) 4 3 0.0536 (0.1744) 5 5
3. CLAD 0.0436 (0.1566) 7 9 0.0574 (0.1808) 7 7
4. GLM (Gamma; Log link) 0.0414 (0.1515) 6 5 0.0540 (0.1742) 6 4
5. GLM (Gaussian; Log link) 0.0399 (0.1527) 5 6 0.0533 (0.1747) 4 6
6. Fractional logit 0.0392 (0.1492) 3 4 0.0525 (0.1724) 2a 2
7. Two-part model with OLS 0.0384 (0.1474) 1 1 0.0516 (0.1716) 1 1
8. Two-part model with beta regression 0.0473 (0.1575) 10 10 0.0903 (0.2157) 10 10
9. Multinomial logit 0.0451 (0.1550) 8 7 0.0675 (0.1972) 8 8
10. Ordered logit 0.0458 (0.1563) 9 8 0.0705 (0.1999) 9 9
  1. OLS Ordinary Least Square, GLM Generalised Linear Model, MSE Mean Squared Error, MAE Mean Absolute Error
  2. atied