The SAS System The GLM Procedure Class Level Information Class Levels Values fee_trt 2 1 2 dcc 10 1 2 3 4 5 6 7 8 9 10 expblock 5 1 2 3 4 5 week 20 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Number of Observations Read 200 Number of Observations Used 200 The SAS System The GLM Procedure Dependent Variable: tnl Sum of Source DF Squares Mean Square F Value Pr > F Model 32 0.96415363 0.03012980 17.87 <.0001 Error 167 0.28160415 0.00168625 Corrected Total 199 1.24575778 R-Square Coeff Var Root MSE tnl Mean 0.773950 15.20140 0.041064 0.270133 Source DF Type I SS Mean Square F Value Pr > F fee_trt 1 0.21985442 0.21985442 130.38 <.0001 expblock 4 0.15383870 0.03845967 22.81 <.0001 fee_trt*expblock 4 0.13995008 0.03498752 20.75 <.0001 dcc(fee_trt) 8 0.37906384 0.04738298 28.10 <.0001 week(expblock) 15 0.07144659 0.00476311 2.82 0.0006 Source DF Type III SS Mean Square F Value Pr > F fee_trt 1 0.21985442 0.21985442 130.38 <.0001 expblock 4 0.09676254 0.02419063 14.35 <.0001 fee_trt*expblock 4 0.13995008 0.03498752 20.75 <.0001 dcc(fee_trt) 8 0.37906384 0.04738298 28.10 <.0001 week(expblock) 15 0.07144659 0.00476311 2.82 0.0006 The SAS System The Mixed Procedure Model Information Data Set WORK.FINE Dependent Variable tnl Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values fee_trt 2 1 2 dcc 10 1 2 3 4 5 6 7 8 9 10 expblock 5 1 2 3 4 5 week 20 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Dimensions Covariance Parameters 3 Columns in X 18 Columns in Z 30 Subjects 1 Max Obs per Subject 200 Number of Observations Number of Observations Read 200 Number of Observations Used 200 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 -487.23018503 1 1 -601.98511598 0.00000000 Convergence criteria met. The SAS System The Mixed Procedure Covariance Parameter Estimates Cov Parm Estimate dcc(fee_trt) 0.002285 week(expblock) 0.000308 Residual 0.001686 Fit Statistics -2 Res Log Likelihood -602.0 AIC (Smaller is Better) -596.0 AICC (Smaller is Better) -595.9 BIC (Smaller is Better) -595.1 Type 1 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F fee_trt 1 8 4.64 0.0634 expblock 4 15 8.07 0.0011 fee_trt*expblock 4 167 20.75 <.0001 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F fee_trt 1 8 4.64 0.0634 expblock 4 15.4 5.21 0.0074 fee_trt*expblock 4 167 20.75 <.0001 The SAS System The Mixed Procedure Model Information Data Set WORK.FINE Dependent Variable tnl Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Kenward-Roger Degrees of Freedom Method Kenward-Roger Class Level Information Class Levels Values fee_trt 2 1 2 dcc 10 1 2 3 4 5 6 7 8 9 10 expblock 5 1 2 3 4 5 week 20 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Dimensions Covariance Parameters 3 Columns in X 18 Columns in Z 30 Subjects 1 Max Obs per Subject 200 Number of Observations Number of Observations Read 200 Number of Observations Used 200 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 -487.23018503 1 1 -601.98511598 0.00000000 Convergence criteria met. The SAS System The Mixed Procedure Covariance Parameter Estimates Cov Parm Estimate dcc(fee_trt) 0.002285 week(expblock) 0.000308 Residual 0.001686 Fit Statistics -2 Res Log Likelihood -602.0 AIC (Smaller is Better) -596.0 AICC (Smaller is Better) -595.9 BIC (Smaller is Better) -595.1 Type 1 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F fee_trt 1 8 4.64 0.0634 expblock 4 15 8.07 0.0011 fee_trt*expblock 4 167 20.75 <.0001 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F fee_trt 1 8 4.64 0.0634 expblock 4 15.4 5.21 0.0074 fee_trt*expblock 4 167 20.75 <.0001