The SAS System 08:51 Monday, July 21, 2008 1 The Mixed Procedure Model Information Data Set WORK.VARIETY_EVAL Dependent Variable y Covariance Structure Variance Components Estimation Method Type 3 Residual Variance Method Factor Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values block 5 1 2 3 4 5 type 2 r s dose 4 1 2 4 8 Dimensions Covariance Parameters 3 Columns in X 15 Columns in Z 25 Subjects 1 Max Obs Per Subject 40 Number of Observations Number of Observations Read 40 Number of Observations Used 40 Number of Observations Not Used 0 Type 3 Analysis of Variance Sum of Source DF Squares Mean Square type 1 11.990250 11.990250 dose 3 545.504750 181.834917 type*dose 3 29.642750 9.880917 block 4 119.734000 29.933500 block*dose 12 160.144000 13.345333 Residual 16 69.102000 4.318875 Type 3 Analysis of Variance Error Source Expected Mean Square Error Term DF type Var(Residual) + Q(type,type*dose) MS(Residual) 16 dose Var(Residual) + 2 Var(block*dose) MS(block*dose) 12 + Q(dose,type*dose) The SAS System 08:51 Monday, July 21, 2008 2 The Mixed Procedure Type 3 Analysis of Variance Error Source Expected Mean Square Error Term DF type*dose Var(Residual) + Q(type*dose) MS(Residual) 16 block Var(Residual) + 2 Var(block*dose) MS(block*dose) 12 + 8 Var(block) block*dose Var(Residual) + 2 Var(block*dose) MS(Residual) 16 Residual Var(Residual) . . Type 3 Analysis of Variance Source F Value Pr > F type 2.78 0.1151 dose 13.63 0.0004 type*dose 2.29 0.1176 block 2.24 0.1252 block*dose 3.09 0.0188 Residual . . Covariance Parameter Estimates Cov Parm Estimate block 2.0735 block*dose 4.5132 Residual 4.3189 Fit Statistics -2 Res Log Likelihood 171.8 AIC (smaller is better) 177.8 AICC (smaller is better) 178.6 BIC (smaller is better) 176.6 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F type 1 16 2.78 0.1151 dose 3 12 13.63 0.0004 type*dose 3 16 2.29 0.1176 The SAS System 08:51 Monday, July 21, 2008 3 The Mixed Procedure Least Squares Means Standard Effect type dose Estimate Error DF t Value Pr > |t| type*dose r 1 20.0000 1.4769 20.2 13.54 <.0001 type*dose r 2 27.8400 1.4769 20.2 18.85 <.0001 type*dose r 4 28.1800 1.4769 20.2 19.08 <.0001 type*dose r 8 24.8000 1.4769 20.2 16.79 <.0001 type*dose s 1 17.0600 1.4769 20.2 11.55 <.0001 type*dose s 2 25.2000 1.4769 20.2 17.06 <.0001 type*dose s 4 28.3800 1.4769 20.2 19.22 <.0001 type*dose s 8 25.8000 1.4769 20.2 17.47 <.0001 Tests of Effect Slices Num Den Effect type dose DF DF F Value Pr > F type*dose r 3 19.5 8.12 0.0010 type*dose s 3 19.5 13.58 <.0001 type*dose 1 1 16 5.00 0.0399 type*dose 2 1 16 4.03 0.0618 type*dose 4 1 16 0.02 0.8810 type*dose 8 1 16 0.58 0.4578