The SAS System 1 13:11 Thursday, June 18, 2009 The Mixed Procedure Model Information Data Set WORK._NLINMIX Dependent Variable pseudo_conc Weight Variable wt Covariance Structure Unstructured Subject Effect indiv Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values indiv 37 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 Dimensions Covariance Parameters 4 Columns in X 2 Columns in Z Per Subject 2 Subjects 37 Max Obs Per Subject 14 Number of Observations Number of Observations Read 475 Number of Observations Used 475 Number of Observations Not Used 0 Parameter Search CovP1 CovP2 CovP3 CovP4 Variance Log Like -2 Log Like 0.1378 0.005669 0.004761 549.08 549.08 -2862.6476 5725.2952 The SAS System 2 13:11 Thursday, June 18, 2009 The Mixed Procedure Iteration History Iteration Evaluations -2 Log Like Criterion 1 1 5725.29518878 0.00000000 Convergence criteria met. Covariance Parameter Estimates Cov Parm Subject Estimate UN(1,1) indiv 0.1378 UN(2,1) indiv 0.005669 UN(2,2) indiv 0.004761 Residual 549.08 Fit Statistics -2 Log Likelihood 5725.3 AIC (smaller is better) 5737.3 AICC (smaller is better) 5737.5 BIC (smaller is better) 5747.0 PARMS Model Likelihood Ratio Test DF Chi-Square Pr > ChiSq 3 0.00 1.0000 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| d_beta1 -5.4325 0.06212 401 -87.46 <.0001 d_beta2 -1.9256 0.02527 401 -76.19 <.0001 The SAS System 3 13:11 Thursday, June 18, 2009 The Mixed Procedure Solution for Random Effects Std Err Effect indiv Estimate Pred DF t Value Pr > |t| d_b1 1 0.2637 0.1452 401 1.82 0.0700 d_b2 1 0.01700 0.06717 401 0.25 0.8004 d_b1 2 0.1049 0.1311 401 0.80 0.4240 d_b2 2 0.003189 0.06692 401 0.05 0.9620 d_b1 3 0.3531 0.1484 401 2.38 0.0178 d_b2 3 0.01016 0.06727 401 0.15 0.8800 d_b1 4 0.2513 0.1391 401 1.81 0.0716 d_b2 4 0.01905 0.06707 401 0.28 0.7766 d_b1 5 0.2835 0.1135 401 2.50 0.0129 d_b2 5 0.01994 0.06642 401 0.30 0.7642 d_b1 6 0.5954 0.1349 401 4.41 <.0001 d_b2 6 0.02672 0.06715 401 0.40 0.6909 d_b1 7 -0.3834 0.08600 401 -4.46 <.0001 d_b2 7 -0.03066 0.06309 401 -0.49 0.6272 d_b1 8 0.5541 0.1311 401 4.23 <.0001 d_b2 8 0.02884 0.06704 401 0.43 0.6673 d_b1 9 -0.03210 0.08801 401 -0.36 0.7155 d_b2 9 0.05477 0.06433 401 0.85 0.3951 d_b1 10 0.03194 0.08926 401 0.36 0.7206 d_b2 10 0.008431 0.06445 401 0.13 0.8960 d_b1 11 -0.4337 0.08142 401 -5.33 <.0001 d_b2 11 0.01724 0.06038 401 0.29 0.7754 d_b1 12 0.002182 0.08813 401 0.02 0.9803 d_b2 12 -0.01907 0.06421 401 -0.30 0.7666 d_b1 13 -0.5514 0.07200 401 -7.66 <.0001 d_b2 13 -0.02648 0.05656 401 -0.47 0.6399 d_b1 14 0.06289 0.08316 401 0.76 0.4500 d_b2 14 0.003324 0.06339 401 0.05 0.9582 d_b1 15 -0.7694 0.07003 401 -10.99 <.0001 d_b2 15 -0.05745 0.05508 401 -1.04 0.2976 d_b1 16 -0.05165 0.08218 401 -0.63 0.5301 d_b2 16 -0.01466 0.06276 401 -0.23 0.8154 d_b1 17 -0.6954 0.06870 401 -10.12 <.0001 d_b2 17 -0.00726 0.05201 401 -0.14 0.8890 d_b1 18 0.1277 0.08014 401 1.59 0.1119 d_b2 18 0.001505 0.06288 401 0.02 0.9809 d_b1 19 0.2241 0.08277 401 2.71 0.0071 d_b2 19 0.01173 0.06388 401 0.18 0.8544 d_b1 20 -0.05604 0.07652 401 -0.73 0.4644 d_b2 20 -0.06830 0.06179 401 -1.11 0.2697 d_b1 21 0.08008 0.07583 401 1.06 0.2916 d_b2 21 -0.03468 0.06137 401 -0.57 0.5723 d_b1 22 0.02265 0.07495 401 0.30 0.7627 d_b2 22 -0.06328 0.06114 401 -1.04 0.3013 d_b1 23 -0.08156 0.07313 401 -1.12 0.2654 The SAS System 4 13:11 Thursday, June 18, 2009 The Mixed Procedure Solution for Random Effects Std Err Effect indiv Estimate Pred DF t Value Pr > |t| d_b2 23 -0.02913 0.05921 401 -0.49 0.6230 d_b1 24 -0.08301 0.07313 401 -1.14 0.2570 d_b2 24 -0.00273 0.05911 401 -0.05 0.9632 d_b1 25 -0.3080 0.06883 401 -4.48 <.0001 d_b2 25 -0.07712 0.05423 401 -1.42 0.1558 d_b1 26 0.3478 0.07851 401 4.43 <.0001 d_b2 26 -0.01209 0.06296 401 -0.19 0.8478 d_b1 27 -0.5640 0.06704 401 -8.41 <.0001 d_b2 27 -0.02384 0.04972 401 -0.48 0.6318 d_b1 28 -0.4441 0.07097 401 -6.26 <.0001 d_b2 28 0.008292 0.05432 401 0.15 0.8787 d_b1 29 0.1777 0.07316 401 2.43 0.0156 d_b2 29 0.02939 0.05997 401 0.49 0.6243 d_b1 30 0.2666 0.07462 401 3.57 0.0004 d_b2 30 0.01870 0.06118 401 0.31 0.7600 d_b1 31 0.4557 0.07830 401 5.82 <.0001 d_b2 31 0.03375 0.06304 401 0.54 0.5927 d_b1 32 -0.04167 0.07030 401 -0.59 0.5537 d_b2 32 0.02924 0.05675 401 0.52 0.6067 d_b1 33 -0.7385 0.06509 401 -11.35 <.0001 d_b2 33 0.01240 0.04346 401 0.29 0.7756 d_b1 34 0.06433 0.07025 401 0.92 0.3604 d_b2 34 0.003406 0.05727 401 0.06 0.9526 d_b1 35 -0.04607 0.06913 401 -0.67 0.5055 d_b2 35 0.06350 0.05520 401 1.15 0.2506 d_b1 36 0.5114 0.08021 401 6.38 <.0001 d_b2 36 0.05595 0.06361 401 0.88 0.3797 d_b1 37 0.4989 0.07870 401 6.34 <.0001 d_b2 37 -0.00973 0.06310 401 -0.15 0.8775