Table 2.
Univariate and Multivariable Logistic Regression Analyses for Selecting Candidate Predictive Features
| Variables | Univariate Analysis | P-value | Multivariate Analysis | P-value | ||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |||
| SWEmax | 2.26 | 0.87~3.49 | <0.05 | 2.29 | 0.77~3.41 | <0.01 |
| SWEmin | 3.17 | 0.72~4.14 | <0.05 | 3.11 | 0.83~5.29 | <0.01 |
| SWEcentre | 2.54 | 1.09~4.68 | <0.01 | 1.98 | 0.99~4.56 | <0.01 |
| SWEratio 1 | 1.17 | 0.63~3.26 | <0.01 | 1.14 | 0.71~2.91 | <0.01 |
| Feature 1 | 2.82 | 0.83~4.42 | <0.01 | 2.26 | 0.87~4.89 | <0.01 |
| Feature 3 | 1.63 | 0.77~3.85 | <0.01 | 1.59 | 0.65~3.67 | <0.01 |
| Feature 5 | 2.52 | 0.82~4.73 | <0.01 | 2.71 | 0.53~4.82 | <0.01 |
Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval.