Table 4.
Summary of fitting proportional odds models for Veteran Administration data
| Parm | Model I | Model II | Model III | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Est. | s.d. | CI | Est. | s.d. | CI | Est. | s.d. | CI | |
| PS | −0.134 | 0.014 | (−0.161, −0.107) | −0.089 | 0.019 | (−0.126, −0.052) | - | - | - |
| PS×Time | - | - | - | 0.016 | 0.003 | (0.010, 0.022) | - | - | - |
| Tumor type versus Large | |||||||||
| AD | - | - | - | - | - | - | 1.292 | 0.367 | (0.573, 2.011) |
| AD×Time | - | - | - | - | - | - | - | - | - |
| SM | - | - | - | - | - | - | 1.972 | 0.486 | (1.019, 2.925) |
| SM×Time | - | - | - | - | - | - | - | - | - |
| SQ | - | - | - | - | - | - | −0.105 | 0.376 | (−0.842, 0.632) |
| SQ×Time | - | - | - | - | - | - | - | - | - |
| Model IV | Model V | Model VI | |||||||
| Parm | Est. | s.d. | CI | Est. | s.d. | CI | Est. | s.d. | CI |
| PS | - | - | - | −0.059 | 0.012 | −0.083–0.035 | −0.049 | 0.021 | −0.090–0.008 |
| PS×Time | - | - | - | - | - | - | −0.008 | 0.005 | −0.018 0.002 |
| Tumor type versus Large | |||||||||
| AD | 0.958 | 0.520 | (−0.061, 1.977) | 1.521 | 0.492 | (0.557, 2.485) | 1.222 | 0.625 | (−0.003, 2.447) |
| AD×Time | −0.228 | 0.127 | Z(−0.477, 0.021) | - | - | - | −0.169 | 0.225 | (−0.610, 0.272) |
| SM | 1.210 | 0.671 | (−0.105, 2.525) | 1.451 | 0.614 | (0.249, 2.655) | 1.141 | 0.781 | (−0.390, 2.672) |
| SM×Time | −0.054 | 0.232 | (−0.509, 0.401) | - | - | - | −0.011 | 0.223 | (−0.449, 0.425) |
| SQ | 0.072 | 0.591 | (−1.086, 1.230) | −0.009 | 0.563 | (−1.112, 1.094) | 0.021 | 0.603 | (−1.161, 1.203) |
| SQ×Time | 0.082 | 0.092 | (−0.098, 0.262) | - | - | - | 0.071 | 0.104 | (−0.133, 0.275) |
PS, performance score; AD, adeno; SM, small; SQ, squamous; Est., parameter estimate; s.d., standard error; CI, 95% confidence interval; -, corresponding covariates excluded in the model.