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Table 2 Goodness of fit results from full estimation sample (N = 141)

From: Mapping the Minnesota living with heart failure questionnaire (MLHFQ) to EQ-5D-5L in patients with heart failure

Model SpecificationMean utility (SD)MinimumMaximumP.25MedianP.75RMSEMAEAbs diff < 0.03Abs diff < 0.05ICC
Observed0.6619−0.26301.00000.55300.70800.8770     
Model 1
 OLS0.66190.24210.85750.53960.69520.79660.22190.17829.916.20.670
 GLM0.66190.24210.85750.53960.69520.79660.22190.17829.916.20.670
 CLAD0.68490.29200.86790.57050.71600.81090.22340.174011.318.30.654
 MFP0.71640.26790.92540.58580.75200.86040.22880.171312.718.30.684
 MM0.73650.31040.93500.61240.77030.87320.23420.172412.719.70.673
 BETA0.72670.15930.92530.58850.80440.89120.23860.177810.616.20.705
Model 2
 OLS0.66190.23080.86310.55190.68180.80280.21850.17509.215.50.690
 GLM0.66190.23080.86310.55190.68180.80280.21850.17509.215.50.690
 CLAD0.70660.27620.90720.59640.72720.84730.22300.168910.619.00.689
 MFP0.72240.29200.92630.61320.74140.86530.22680.168411.316.90.688
 MM0.73730.28970.94290.61250.75860.88710.23130.16959.216.20.697
 BETA0.72560.15050.93350.61540.78870.90190.23490.17614.212.00.717
Model 3
 OLS0.66190.23600.82220.56970.69840.82220.21510.172111.316.90.707
 GLM0.66190.23600.82220.56970.69840.82220.21510.172111.316.90.707
 CLAD0.69670.29200.83700.61260.73220.83700.22170.170313.422.50.667
 MFP0.70860.28830.86550.61770.74730.86550.22040.167613.420.40.700
 MM0.72600.27190.89530.62780.77950.89530.22480.16959.916.90.718
 BETA0.73450.17750.90320.60980.80270.90320.23210.174510.616.90.731
Indirect mapping
 OLOGIT0.64430.47900.76800.54100.59200.76800.23630.192710.615.50.512
  1. Dependant variable: EQ-5D-5 L utility score; Independent variables: Model 1 - MLHF total score; Model 2 – MLHF domain scores; Model 3 – MLHF item scores (Item 04, 17 and 21).
  2. Abs diff. < 0.03 (0.05)% - proportion of predicted utilities whose absolute values deviate from the mean of the observed utility values by less than 0.03 (0.05); P.25 – 25th percentile; P.75 75th percentile, RMSE Root Mean Square Error; MAE Mean Absolute Error; ICC – Intra Class Correlation.
  3. OLS Ordinary least square, GLM Generalized linear modelling, CLAD Censored least absolute deviations, MFP Multivariable fractional polynomials, MM Robust MM estimator, BETA Mixture beta regression model, OLOGIT ordered logit (indirect response mapping).