Kuehl -- Example 7.3 -- Glucose Standards The GLM Procedure Class Level Information Class Levels Values day 3 1 2 3 run 6 1 2 3 4 5 6 Number of Observations Read 18 Number of Observations Used 18 Kuehl -- Example 7.3 -- Glucose Standards The GLM Procedure Dependent Variable: glucose Sum of Source DF Squares Mean Square F Value Pr > F Model 5 30.12000000 6.02400000 5.25 0.0087 Error 12 13.76000000 1.14666667 Corrected Total 17 43.88000000 R-Square Coeff Var Root MSE glucose Mean 0.686418 2.503878 1.070825 42.76667 Source DF Type I SS Mean Square F Value Pr > F day 2 13.76333333 6.88166667 6.00 0.0156 run(day) 3 16.35666667 5.45222222 4.75 0.0208 Source DF Type III SS Mean Square F Value Pr > F day 2 13.76333333 6.88166667 6.00 0.0156 run(day) 3 16.35666667 5.45222222 4.75 0.0208 Tests of Hypotheses Using the Type III MS for run(day) as an Error Term Source DF Type III SS Mean Square F Value Pr > F day 2 13.76333333 6.88166667 1.26 0.4002 Kuehl -- Example 7.3 -- Glucose Standards The GLM Procedure Source Type III Expected Mean Square day Var(Error) + 3 Var(run(day)) + 6 Var(day) run(day) Var(Error) + 3 Var(run(day)) Kuehl -- Example 7.3 -- Glucose Standards Variance Components Estimation Procedure Class Level Information Class Levels Values day 3 1 2 3 run 6 1 2 3 4 5 6 Number of Observations Read 18 Number of Observations Used 18 Dependent Variable: glucose Type 1 Analysis of Variance Sum of Source DF Squares Mean Square day 2 13.763333 6.881667 run(day) 3 16.356667 5.452222 Error 12 13.760000 1.146667 Corrected Total 17 43.880000 Type 1 Analysis of Variance Source Expected Mean Square day Var(Error) + 3 Var(run(day)) + 6 Var(day) run(day) Var(Error) + 3 Var(run(day)) Error Var(Error) Corrected Total Type 1 Estimates Variance Component Estimate Var(day) 0.23824 Var(run(day)) 1.43519 Var(Error) 1.14667 Kuehl -- Example 7.3 -- Glucose Standards The Mixed Procedure Model Information Data Set WORK.ONE Dependent Variable glucose Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values day 3 1 2 3 run 6 1 2 3 4 5 6 Dimensions Covariance Parameters 3 Columns in X 1 Columns in Z 9 Subjects 1 Max Obs Per Subject 18 Number of Observations Number of Observations Read 18 Number of Observations Used 18 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 67.25445184 1 1 61.72238364 0.00000000 Convergence criteria met. Kuehl -- Example 7.3 -- Glucose Standards The Mixed Procedure Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Alpha Lower Upper day 0.2382 1.3660 0.17 0.4308 0.05 0.02135 5.873E50 run(day) 1.4352 1.4921 0.96 0.1681 0.05 0.3762 73.2245 Residual 1.1467 0.4681 2.45 0.0072 0.05 0.5896 3.1246 Fit Statistics -2 Res Log Likelihood 61.7 AIC (smaller is better) 67.7 AICC (smaller is better) 69.6 BIC (smaller is better) 65.0