Table 5. GLM analysis of change in PLT counts shows best model is useful (p = .0033, R2 = 16.7%).
Source | Df | Sum of Squares | Mean Square | F value | Pr>F |
Model | 14 | 54700.2 | 3907.2 | 2.47 | 0.0033 |
Error | 173 | 273894.6 | 1583.2 | ||
Corrected Total | 187 | 328594.9 | |||
R_square | Coeff Var | Root MSE | PLT Change Mean | ||
0.167 | 988.168 | 39.79 | 4.0266 | ||
Source | Df | Type III SS | Mean Square | F-value | Pr>F |
ITPase | 1 | 266.33 | 266.33 | 0.17 | 0.6822 |
Arm | 1 | 5192.79 | 5192.79 | 3.28 | 0.0720 |
ITPase*Arm | 1 | 7353.25 | 7353.25 | 4.64 | 0.0325 |
rs12979860 | 2 | 2485.27 | 1242.64 | 0.78 | 0.4578 |
ITPase* rs12979860 | 2 | 2521.016 | 1260.51 | 0.80 | 0.4527 |
Arm* rs12979860 | 2 | 2896.34 | 1448.17 | 0.91 | 0.4026 |
Age | 1 | 638.71 | 638.71 | 0.4 | 0.5262 |
ITPase*Age | 1 | 724.56 | 724.56 | 0.46 | 0.4996 |
Age*Arm | 1 | 65.33 | 65.33 | 0.04 | 0.8393 |
Sex | 1 | 5235.88 | 5235.88 | 3.31 | 0.0710 |
Arm*Sex | 1 | 442.42 | 442.42 | 0.28 | 0.5977 |