Table 4. GLM analysis of plasma RBV concentration in Arm A (DAA+RBV) shows the model is useful (p = 0.0269, R2 = 15.3%).
Source | Df | Sum of Squares | Mean Square | F value | Pr>F |
Model | 3 | 1.3088 | 0.436 | 3.30 | 0.0269 |
Error | 55 | 7.265 | 0.132 | ||
Total | 58 | 8.574 | |||
R_square | Coeff Var | Root MSE | Log2(Ctrough) Mean | ||
0.153 | 3.4963 | 0.3635 | 10.395 | ||
Source | Df | Type III SS | Mean Square | F-value | Pr>F |
Age | 1 | 0.094 | 0.094 | 0.71 | 0.4023 |
ITPase | 1 | 0.543 | 0.543 | 4.11 | 0.0474 |
Age*ITPase | 1 | 0.579 | 0.579 | 4.38 | 0.0409 |
Solution for Fixed Effects | |||||
Effect | Estimate | Standard Error | DF | T Value | Pr>|t| |
Intercept | 10.7672 | 0.4958 | 55 | 21.72 | <0.0001 |
ITPase | -0.012994 | 0.006378 | 55 | -2.03 | 0.0474 |
Age | -0.00840 | 0.009956 | 55 | -0.84 | 0.4023 |
ITPase*Age | 0.00026 | 0.000126 | 55 | 2.09 | 0.0409 |