The SAS System The Mixed Procedure Model Information Data Set WORK.ONE Dependent Variable bac Covariance Structure Unstructured Subject Effect subject Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values subject 9 1 2 3 4 5 6 7 8 9 Dimensions Covariance Parameters 2 Columns in X 2 Columns in Z Per Subject 1 Subjects 9 Max Obs Per Subject 10 Number of Observations Number of Observations Read 90 Number of Observations Used 90 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 -439.52434023 1 1 -664.52977886 0.00000000 Convergence criteria met. The SAS System The Mixed Procedure Covariance Parameter Estimates Cov Parm Subject Estimate UN(1,1) subject 0.000366 Residual 0.000017 Fit Statistics -2 Res Log Likelihood -664.5 AIC (smaller is better) -660.5 AICC (smaller is better) -660.4 BIC (smaller is better) -660.1 Null Model Likelihood Ratio Test DF Chi-Square Pr > ChiSq 1 225.01 <.0001 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| Intercept 0.1007 0.006447 8 15.62 <.0001 brtime 0.000086 0.000149 80 0.58 0.5661 Solution for Random Effects Std Err Effect subject Estimate Pred DF t Value Pr > |t| Intercept 1 0.009516 0.006494 80 1.47 0.1467 Intercept 2 0.01180 0.006494 80 1.82 0.0731 Intercept 3 -0.02454 0.006494 80 -3.78 0.0003 Intercept 4 0.01896 0.006494 80 2.92 0.0045 Intercept 5 0.007127 0.006494 80 1.10 0.2757 Intercept 6 -0.03230 0.006494 80 -4.97 <.0001 Intercept 7 0.007535 0.006494 80 1.16 0.2494 Intercept 8 -0.01597 0.006494 80 -2.46 0.0161 Intercept 9 0.01788 0.006494 80 2.75 0.0073 The SAS System The Mixed Procedure Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F brtime 1 80 0.33 0.5661 The SAS System The Mixed Procedure Model Information Data Set WORK.ONE Dependent Variable bac Covariance Structure Unstructured Subject Effect subject Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values subject 9 1 2 3 4 5 6 7 8 9 Dimensions Covariance Parameters 4 Columns in X 2 Columns in Z Per Subject 2 Subjects 9 Max Obs Per Subject 10 Number of Observations Number of Observations Read 90 Number of Observations Used 90 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 -439.52434023 1 1 -668.93017751 0.00000000 Convergence criteria met. The SAS System The Mixed Procedure Covariance Parameter Estimates Cov Parm Subject Estimate UN(1,1) subject 0.000370 UN(2,1) subject -1.13E-6 UN(2,2) subject 2.837E-7 Residual 0.000014 Fit Statistics -2 Res Log Likelihood -668.9 AIC (smaller is better) -660.9 AICC (smaller is better) -660.4 BIC (smaller is better) -660.1 Null Model Likelihood Ratio Test DF Chi-Square Pr > ChiSq 3 229.41 <.0001 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| Intercept 0.1007 0.006472 8 15.55 <.0001 brtime 0.000086 0.000225 8 0.38 0.7121 Solution for Random Effects Std Err Effect subject Estimate Pred DF t Value Pr > |t| Intercept 1 0.01459 0.006730 72 2.17 0.0334 brtime 1 -0.00092 0.000356 72 -2.59 0.0115 Intercept 2 0.01060 0.006730 72 1.57 0.1197 brtime 2 0.000219 0.000356 72 0.62 0.5398 Intercept 3 -0.02513 0.006730 72 -3.73 0.0004 brtime 3 0.000104 0.000356 72 0.29 0.7717 Intercept 4 0.01676 0.006730 72 2.49 0.0151 brtime 4 0.000403 0.000356 72 1.13 0.2613 Intercept 5 0.008483 0.006730 72 1.26 0.2116 brtime 5 -0.00025 0.000356 72 -0.69 0.4920 Intercept 6 -0.03091 0.006730 72 -4.59 <.0001 The SAS System The Mixed Procedure Solution for Random Effects Std Err Effect subject Estimate Pred DF t Value Pr > |t| brtime 6 -0.00026 0.000356 72 -0.72 0.4724 Intercept 7 0.007002 0.006730 72 1.04 0.3016 brtime 7 0.000098 0.000356 72 0.27 0.7844 Intercept 8 -0.01817 0.006730 72 -2.70 0.0086 brtime 8 0.000399 0.000356 72 1.12 0.2660 Intercept 9 0.01677 0.006730 72 2.49 0.0150 brtime 9 0.000203 0.000356 72 0.57 0.5706 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F brtime 1 8 0.15 0.7121 The SAS System The Mixed Procedure Model Information Data Set WORK.ONE Dependent Variable bac Covariance Structure Unstructured Subject Effect subject Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values subject 9 1 2 3 4 5 6 7 8 9 Dimensions Covariance Parameters 4 Columns in X 4 Columns in Z Per Subject 2 Subjects 9 Max Obs Per Subject 10 Number of Observations Number of Observations Read 90 Number of Observations Used 90 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 -439.52144781 1 1 -650.43954908 0.00000000 Convergence criteria met. The SAS System The Mixed Procedure Covariance Parameter Estimates Cov Parm Subject Estimate UN(1,1) subject 0.000338 UN(2,1) subject -2.04E-6 UN(2,2) subject 3.444E-7 Residual 0.000014 Fit Statistics -2 Res Log Likelihood -650.4 AIC (smaller is better) -642.4 AICC (smaller is better) -641.9 BIC (smaller is better) -641.7 Null Model Likelihood Ratio Test DF Chi-Square Pr > ChiSq 3 210.92 <.0001 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| Intercept 0.09150 0.009281 7 9.86 <.0001 brtime 0.000020 0.000360 7 0.06 0.9562 male 0.01649 0.01245 72 1.32 0.1895 brtime*male 0.000118 0.000482 72 0.25 0.8071 Solution for Random Effects Std Err Effect subject Estimate Pred DF t Value Pr > |t| Intercept 1 0.007598 0.008455 72 0.90 0.3719 brtime 1 -0.00103 0.000401 72 -2.57 0.0123 Intercept 2 0.01979 0.009388 72 2.11 0.0385 brtime 2 0.000270 0.000415 72 0.65 0.5174 Intercept 3 -0.01599 0.009388 72 -1.70 0.0928 brtime 3 0.000169 0.000415 72 0.41 0.6851 Intercept 4 0.009253 0.008455 72 1.09 0.2775 brtime 4 0.000387 0.000401 72 0.96 0.3384 Intercept 5 0.01785 0.009388 72 1.90 0.0612 The SAS System The Mixed Procedure Solution for Random Effects Std Err Effect subject Estimate Pred DF t Value Pr > |t| brtime 5 -0.00023 0.000415 72 -0.54 0.5879 Intercept 6 -0.02165 0.009388 72 -2.31 0.0240 brtime 6 -0.00021 0.000415 72 -0.51 0.6092 Intercept 7 -0.00041 0.008455 72 -0.05 0.9610 brtime 7 0.000066 0.000401 72 0.17 0.8692 Intercept 8 -0.02578 0.008455 72 -3.05 0.0032 brtime 8 0.000404 0.000401 72 1.01 0.3167 Intercept 9 0.009346 0.008455 72 1.11 0.2727 brtime 9 0.000172 0.000401 72 0.43 0.6685 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F brtime 1 7 0.00 0.9562 male 1 72 1.75 0.1895 brtime*male 1 72 0.06 0.8071