|
Performance status
|
P-value for trenda
|
---|
Model
|
0
|
1
|
2
|
3 or 4
|
---|
Observed data
|
0.8719
|
0.7273
|
0.5941
|
0.5941
| |
Ordinary least square
| | | | | |
Model 3
|
0.8518
|
0.7584**
|
0.6499
|
0.5886
|
< 0.001
|
Model 4
|
0.8537
|
0.7581**
|
0.6518
|
0.5883
|
< 0.001
|
Model 5
|
0.8560
|
0.7571**
|
0.6495
|
0.5842
|
< 0.001
|
Tobit model
| | | | | |
Model 3
|
0.8890
|
0.7784**
|
0.6498
|
0.5772
|
< 0.001
|
Model 4
|
0.8913
|
0.7780**
|
0.6520
|
0.5768
|
< 0.001
|
Model 5
|
0.8944
|
0.7766**
|
0.6490
|
0.5710
|
< 0.001
|
Censored least absolute deviation
| | | | |
Model 3
|
0.8478*
|
0.7590**
|
0.6558
|
0.6004
|
< 0.001
|
Model 4
|
0.8512
|
0.7580**
|
0.6545
|
0.5948
|
< 0.001
|
Model 5
|
0.8505
|
0.7541**
|
0.6487
|
0.5829
|
< 0.001
|
Quantile regression
| | | | | |
Model 3
|
0.8478*
|
0.7590**
|
0.6558
|
0.6004
|
< 0.001
|
Model 4
|
0.8512
|
0.7580**
|
0.6545
|
0.5948
|
< 0.001
|
Model 5
|
0.8505
|
0.7541**
|
0.6487
|
0.5829
|
< 0.001
|
Logistic quantile regression
| | | | |
Model 3
|
0.8341**
|
0.7548**
|
0.6526
|
0.5920
|
< 0.001
|
Model 4
|
0.8349**
|
0.7532**
|
0.6507
|
0.5886
|
< 0.001
|
Model 5
|
0.8387**
|
0.7508**
|
0.6422
|
0.5733
|
< 0.001
|
- aCuzick’s nonparametric test for trend [29].
- **P-value < 0.01; *P-value < 0.05 for signed-rank test between observed and predicted utility index within the same performance status level.