Table 2.
Models for covariate evaluation
| Model no. | Covariate | Obj | Ref.Model | ΔObj. | DF | P-value |
|---|---|---|---|---|---|---|
| 1 | No covariate | 8615.563 | – | – | – | |
| 2 | WT | 8611.877 | 1 | 3.686 | 1 | 0.0549 |
| 3 | Sex | 8609.966 | 1 | 5.597 | 1 | 0.0180 |
| 4 | Age | 8612.237 | 1 | 3.326 | 1 | 0.0682 |
| 5 | SrCr | 8614.428 | 1 | 1.135 | 1 | 0.2867 |
| 6* | CLcr | 8598.603 | 1 | 16.960 | 1 | <0.0001 |
| 7 | Race | 8613.705 | 1 | 1.858 | 1 | 0.1729 |
| 8 | WT + Sex | 8609.404 | 3 | 0.562 | 1 | 0.4535 |
| 9 | Age + Sex | 8606.967 | 3 | 2.999 | 1 | 0.0833 |
| 10 | SrCr + Sex | 8601.732 | 3 | 8.234 | 1 | 0.0041 |
| 11 | CLcr + Sex | 8596.660 | 6 | 1.943 | 1 | 0.1633 |
Obj, Minimum objective function;ΔObj, difference in obj; DF, degrees of freedom; SrCr, serum creatinine; CLcr, estimated creatinine clearance; WT, body weight.
*
Final model.