|
Model specification
|
(1)
|
(2)
|
(3)
|
(4)
|
(5)
|
(6)
|
(7)
|
|---|
| |
Mean CHU9D
|
Min CHU9D
|
Max CHU9D
|
MAE
|
RMSE
|
MAE†
|
RMSE†
|
|---|
|
Observed
|
0.8082
|
0.3479
|
1.0000
|
―
|
―
|
―
|
―
|
|
Method 1: Ordinary least squares estimator‡
|
|
Model 1
|
0.8082
|
0.4535
|
0.9817
|
0.0978
|
0.1238
|
―
|
―
|
|
Model 2
|
0.8082
|
0.4909
|
1.0342
|
0.0950**
|
0.1193*
|
0.0946
|
0.1190
|
|
Method 2: Censored least absolute deviations estimator
|
|
Model 1
|
0.8185
|
0.4473
|
0.9944
|
0.0971
|
0.1243
|
―
|
―
|
|
Model 2
|
0.8179
|
0.4281
|
1.0802
|
0.0971
|
0.1247
|
0.0944
|
0.1219
|
|
Method 3: MM-estimator
| | | | | | |
|
Model 1
|
0.8136
|
0.4156
|
1.0019
|
0.0972
|
0.1243
|
0.0971
|
0.1243
|
|
Model 2
|
0.8146
|
0.4807
|
1.0555
|
0.0946*
|
0.1199**
|
0.0937
|
0.1193
|
|
Method 4: Generalised linear model
|
|
Model 1
|
0.8082
|
0.4693
|
0.9950
|
0.0975
|
0.1240
|
―
|
―
|
|
Model 2
|
0.8082
|
0.3760
|
0.9483
|
0.0971
|
0.1217
|
―
|
―
|
- CHU9D – Child Health Utility 9D; MAE – mean absolute error; RMSE – root mean squared error.
- *denotes the smallest value in the column; **denotes the second smallest value in the column.
- †The adjusted goodness-of-fit results by specifying the maximum predicted utility score to be 1.
- ‡The R-square statistics for Model 1 and 2 are 0.36 and 0.41, respectively.
