Table 3.
Multivariate binary logistic regression in the training dataset.
Factor | β | B. E | Wals | P value | Exp (B) | 95% CI |
---|---|---|---|---|---|---|
Microcalcification | 2.125 | 0.831 | 6.533 | 0.011 | 8.374 | 1.641-42.724 |
Solid | 1.479 | 0.555 | 7.105 | 0.008 | 4.388 | 1.479-13.016 |
Ill-defined border | 1.482 | 0.719 | 4.242 | 0.039 | 4.401 | 1.074-18.031 |
Hypoechogenicity | 1.079 | 0.535 | 4.066 | 0.044 | 2.940 | 1.031-8.3888 |
Intercept | -2.8219 | 0.459 | -6.15 | <0.0001 |
Those factors with statistically significance (P<0.01) in the univariate analysis were added to the logistic analysis. CI, confidence interval.