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Table 4 Model performance for the best fitting model (Direct mapping)

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

Model Specification

Mean utility (SD)

Min

P.25

Median

P.75

Max

RMSE

MAE

Abs diff < 0.03

Abs diff < 0.05

ICC

Observed

0.6619

−0.2630

0.5530

0.7080

0.8770

1.0000

     

Model 1 (MFP)

Cross validation sample

0.7164

0.2679

0.5858

0.7520

0.8604

0.9254

0.2288

0.1713

12.7

18.3

0.513

Model 2 (MFP)

 Cross validation sample

0.7224

0.2920

0.6132

0.7414

0.8653

0.9263

0.2268

0.1684

11.3

16.9

0.520

Model 3 (MFP)

 Cross validation sample

0.7086

0.2883

0.6177

0.7473

0.8655

0.8655

0.2204

0.1676

13.4

20.4

0.517

  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.
  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. MFP Multivariable fractional polynomials.