TABLE 4.
Significant factors in the multiple linear regression analysis
Backward: P < 0.05 for variables to stay in the model.
| Variable | Parameter Estimate | S.E. | F Value | P > F |
|---|---|---|---|---|
| Intercept | 5.55931 | 0.40179 | 191.44 | <0.0001 |
| Weight | 0.00431 | 0.00176 | 5.99 | 0.0159 |
| CYP2C9*2 | −0.87096 | 0.19831 | 19.29 | <0.0001 |
| CYP2C9*3 | −1.07031 | 0.29295 | 13.35 | 0.0004 |
| VKORC1 −1639G>A | −0.81933 | 0.11751 | 48.62 | <0.0001 |
| CYP4F2 rs2108622 | 0.37928 | 0.14053 | 7.28 | 0.0080 |
| POR rs2868177 | 0.35491 | 0.15440 | 5.28 | 0.0234 |
| POR −173C>A | −0.70359 | 0.26143 | 7.24 | 0.0082 |
| POR −208C>T | −0.50989 | 0.21827 | 5.46 | 0.0213 |
| Aspirin | −0.00287 | 0.00139 | 4.27 | 0.0411 |