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Table 3 Goodness of fit results from validation analysis

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

 Validation method (3-fold)
Pooled sample (N = 141)
Mean utilityRMSEMAEAb
diff < 0.03
Ab
diff < 0.05
Observed0.6619    
Model 1
 OLS0.66240.22200.17839.916.2
 GLM0.61530.22200.19163.59.2
 CLAD0.69250.22400.173012.719.7
 MFP0.71640.22880.171312.718.3
 MM0.72540.23090.171712.020.4
 BETA0.72460.23780.177510.616.2
Model 2
 OLS0.66960.21870.17388.516.2
 GLM0.67110.21970.17409.215.5
 CLAD0.73040.23160.17107.021.8
 MFP0.72240.22680.168411.316.9
 MM0.73130.22920.168811.316.9
 BETA0.72860.23550.17614.912.0
Model 3
 OLS0.66710.21530.171112.017.6
 GLM0.66710.21530.171112.017.6
 CLAD0.71730.22680.170011.314.8
 MFP0.70860.22040.167613.420.4
 MM0.71770.22290.16899.216.9
 BETA0.73470.23180.174011.316.9
Indirect mapping
 OLOGIT0.64980.23530.19358.512.7
  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); RMSE – Root Mean Square Error; MAE – Mean Absolute Error.
  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).