Table 3 Unordered multi-classification logistic regression.
Model | β | SE | Wald | P vaule | Exp(β) | 95%CI | |
|---|---|---|---|---|---|---|---|
Logit PCaP/CaOx | Intercept | − 2.600 | 1.110 | 5.487 | 0.019 |  |  |
Female | 1.127 | 0.236 | 22.805 | 0.000 | 3.087 | 1.944 ~ 4.903 | |
UTI | 1.662 | 0.252 | 43.620 | 0.000 | 5.272 | 3.219 ~ 8.635 | |
Logit PST/CaOx | Intercept | − 1.965 | 0.787 | 6.241 | 0.012 |  |  |
Ureter | − 0.868 | 0.260 | 11.128 | 0.001 | 0.420 | 0.252 ~ 0.699 | |
Female | 1.583 | 0.257 | 37.985 | 0.000 | 4.871 | 2.944 ~ 8.060 | |
UTI | 1.594 | 0.268 | 35.331 | 0.000 | 4.921 | 2.910 ~ 8.323 | |
Logit PUA/CaOx | Intercept | − 2.457 | 0.386 | 40.432 | 0.000 |  |  |
HUA | 2.045 | 0.335 | 37.297 | 0.000 | 7.729 | 4.010 ~ 14.898 | |
FH | 0.932 | 0.347 | 7.211 | 0.007 | 2.539 | 1.286 ~ 5.012 | |
