The SAS System 13:37 Sunday, May 29, 2005 1 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 0.1578 -0.00308 0.01676 699.80 699.80 -2935.3118 5870.6236 The SAS System 13:37 Sunday, May 29, 2005 2 The Mixed Procedure Iteration History Iteration Evaluations -2 Log Like Criterion 1 1 5870.62357427 0.00000000 Convergence criteria met. Covariance Parameter Estimates Cov Parm Subject Estimate UN(1,1) indiv 0.1578 UN(2,1) indiv -0.00308 UN(2,2) indiv 0.01676 Residual 699.80 Fit Statistics -2 Log Likelihood 5870.6 AIC (smaller is better) 5882.6 AICC (smaller is better) 5882.8 BIC (smaller is better) 5892.3 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 -5.4889 0.06629 401 -82.80 <.0001 d_beta2 -1.8277 0.03429 401 -53.30 <.0001 Solution for Random Effects Std Err Effect indiv Estimate Pred DF t Value Pr > |t| d_b1 1 0.2729 0.1368 401 1.99 0.0467 d_b2 1 0.01884 0.1229 401 0.15 0.8782 The SAS System 13:37 Sunday, May 29, 2005 3 The Mixed Procedure Solution for Random Effects Std Err Effect indiv Estimate Pred DF t Value Pr > |t| d_b1 2 0.1520 0.1364 401 1.11 0.2658 d_b2 2 -0.01096 0.1238 401 -0.09 0.9295 d_b1 3 0.3515 0.1364 401 2.58 0.0103 d_b2 3 -0.01331 0.1238 401 -0.11 0.9145 d_b1 4 0.2636 0.1331 401 1.98 0.0482 d_b2 4 0.02581 0.1226 401 0.21 0.8334 d_b1 5 0.2909 0.1076 401 2.70 0.0071 d_b2 5 0.02770 0.1163 401 0.24 0.8118 d_b1 6 0.4959 0.1109 401 4.47 <.0001 d_b2 6 0.03540 0.1197 401 0.30 0.7675 d_b1 7 -0.3693 0.1072 401 -3.44 0.0006 d_b2 7 -0.04631 0.1157 401 -0.40 0.6892 d_b1 8 0.4715 0.1087 401 4.34 <.0001 d_b2 8 0.03837 0.1177 401 0.33 0.7446 d_b1 9 0.03213 0.09611 401 0.33 0.7383 d_b2 9 0.1106 0.1126 401 0.98 0.3265 d_b1 10 0.09076 0.09536 401 0.95 0.3418 d_b2 10 -0.00327 0.1107 401 -0.03 0.9764 d_b1 11 -0.4289 0.1013 401 -4.23 <.0001 d_b2 11 0.06071 0.1101 401 0.55 0.5815 d_b1 12 0.06342 0.09513 401 0.67 0.5054 d_b2 12 -0.06918 0.1100 401 -0.63 0.5296 d_b1 13 -0.6127 0.08799 401 -6.96 <.0001 d_b2 13 0.003433 0.1044 401 0.03 0.9738 d_b1 14 0.1186 0.08799 401 1.35 0.1783 d_b2 14 -0.02088 0.1044 401 -0.20 0.8416 d_b1 15 -0.9786 0.08883 401 -11.02 <.0001 d_b2 15 0.01614 0.1073 401 0.15 0.8805 d_b1 16 0.01199 0.09024 401 0.13 0.8943 d_b2 16 -0.06105 0.1059 401 -0.58 0.5644 d_b1 17 -0.8387 0.08335 401 -10.06 <.0001 d_b2 17 0.1166 0.09923 401 1.18 0.2406 d_b1 18 0.1747 0.08347 401 2.09 0.0369 d_b2 18 -0.02763 0.1003 401 -0.28 0.7830 d_b1 19 0.2523 0.08385 401 3.01 0.0028 d_b2 19 0.000087 0.1027 401 0.00 0.9993 d_b1 20 0.006132 0.08385 401 0.07 0.9417 d_b2 20 -0.1837 0.1027 401 -1.79 0.0745 d_b1 21 0.1334 0.08023 401 1.66 0.0971 d_b2 21 -0.1076 0.09555 401 -1.13 0.2608 d_b1 22 0.08073 0.08042 401 1.00 0.3161 d_b2 22 -0.1644 0.09688 401 -1.70 0.0905 d_b1 23 -0.02087 0.08015 401 -0.26 0.7947 d_b2 23 -0.09809 0.09446 401 -1.04 0.2997 d_b1 24 -0.02065 0.08015 401 -0.26 0.7968 d_b2 24 -0.04726 0.09446 401 -0.50 0.6171 The SAS System 13:37 Sunday, May 29, 2005 4 The Mixed Procedure Solution for Random Effects Std Err Effect indiv Estimate Pred DF t Value Pr > |t| d_b1 25 -0.2832 0.07782 401 -3.64 0.0003 d_b2 25 -0.1699 0.09011 401 -1.89 0.0601 d_b1 26 0.3385 0.07789 401 4.35 <.0001 d_b2 26 -0.01155 0.09125 401 -0.13 0.8994 d_b1 27 -0.6342 0.07782 401 -8.15 <.0001 d_b2 27 0.01403 0.09011 401 0.16 0.8764 d_b1 28 -0.4575 0.08246 401 -5.55 <.0001 d_b2 28 0.02844 0.09841 401 0.29 0.7727 d_b1 29 0.2156 0.07607 401 2.83 0.0048 d_b2 29 0.02930 0.08617 401 0.34 0.7341 d_b1 30 0.2831 0.07612 401 3.72 0.0002 d_b2 30 0.02672 0.08733 401 0.31 0.7598 d_b1 31 0.4095 0.07612 401 5.38 <.0001 d_b2 31 0.09114 0.08733 401 1.04 0.2973 d_b1 32 0.02170 0.07607 401 0.29 0.7756 d_b2 32 0.001290 0.08617 401 0.01 0.9881 d_b1 33 -0.9055 0.07472 401 -12.12 <.0001 d_b2 33 0.2033 0.08261 401 2.46 0.0143 d_b1 34 0.1189 0.07472 401 1.59 0.1123 d_b2 34 -0.03500 0.08261 401 -0.42 0.6721 d_b1 35 0.01918 0.07472 401 0.26 0.7976 d_b2 35 0.05313 0.08261 401 0.64 0.5205 d_b1 36 0.4400 0.07650 401 5.75 <.0001 d_b2 36 0.1577 0.08824 401 1.79 0.0746 d_b1 37 0.4410 0.07598 401 5.80 <.0001 d_b2 37 0.01129 0.08688 401 0.13 0.8967