Table 4.
Backward logistic regression with bootstrap method.
| Variables | B | SE | P-value | Odds Ratio (95%CI)a |
|---|---|---|---|---|
| Intercept | -0.980 | 0.265 | ||
| Age | -0.017 | 0.005 | 0.001 | 0.983(0.972 to 0.993) |
| CSBMs | 1.535 | 0.323 | <0.001 | 4.641(4.014 to 5.268) |
| Treatment assignment | -0.694 | 0.197 | <0.001 | 0.500(0.113 to 0.886) |
| CSBMs∗Treatment assignment | 0.961 | 0.438 | 0.028 | 2.615(1.756 to 3.474) |
aRegression coefficient and corresponding odds ratio after bootstrapping (i.e., adjusted for overfitting).