Table 5.
Performance status | P-value for trend a | ||||
---|---|---|---|---|---|
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.