From: Prediction of the SF-6D utility score from Lung cancer FACT-L: a mapping study in China
Model | Mean | SD | Minimum | P10 | Median | P90 | Maximum |
---|---|---|---|---|---|---|---|
Observed data | 0.7740 | 0.1542 | 0.3590 | 0.5340 | 0.7950 | 0.9620 | 1.0000 |
OLS M4 | 0.7740 | 0.1292 | 0.3801 | 0.5794 | 0.8047 | 0.9206 | 0.9578 |
OLS M5 | 0.7740 | 0.1294 | 0.3797 | 0.5777 | 0.8052 | 0.9218 | 0.9653 |
TOBIT M4 | 0.7777 | 0.1334 | 0.3899 | 0.5764 | 0.8057 | 0.9323 | 0.9746 |
TOBIT M5 | 0.7777 | 0.1337 | 0.3894 | 0.5753 | 0.8077 | 0.9344 | 0.9840 |
OPROBIT M4 | 0.7757 | 0.1294 | 0.4439 | 0.5751 | 0.8048 | 0.9239 | 0.9526 |
OPROBIT M5 | 0.7757 | 0.1296 | 0.4429 | 0.5765 | 0.8033 | 0.9224 | 0.9561 |
BETAMIX M3a | 0.7714 | 0.1292 | 0.4268 | 0.5756 | 0.8028 | 0.9173 | 0.9617 |
BETAMIX M4a | 0.7714 | 0.1296 | 0.4089 | 0.5713 | 0.8006 | 0.9148 | 0.9647 |