shared parameter model of time to dropout and imps79 across time 1 The Mixed Procedure Model Information Data Set WORK.DATY Dependent Variable outcome Covariance Structure Unstructured Subject Effect id Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment shared parameter model of time to dropout and imps79 across time 2 The Mixed Procedure Class Level Information Class Levels Values id 437 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1118 1119 1124 1125 1129 1136 1140 1301 1302 1303 1304 1305 1306 1307 1308 1309 1311 1312 1313 1314 1315 1316 1317 1318 1321 1329 2102 2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2115 2116 2117 2118 2119 2120 2121 2123 2124 2125 2126 2129 2130 2132 2134 2135 2136 2137 2140 2141 2142 2143 2144 2145 2146 2148 2149 2150 2151 2152 2153 2159 2160 2162 2163 2301 2302 2303 2304 2305 2308 2309 2310 2311 2312 2313 2314 2316 2317 2318 2320 2321 2322 2323 2325 2326 2328 2329 2330 2331 2334 2335 2336 2337 2338 2339 2340 2341 2342 2344 2345 2348 2350 2352 2353 2358 2372 2375 3101 3102 3103 3104 3105 3106 3107 3108 3109 3110 3111 3112 3113 3114 3301 3302 3303 3304 3305 3306 3307 3308 3309 3310 3311 3312 3313 3314 3315 3316 3317 3320 3321 3323 3326 3327 3330 3333 4101 4102 4103 4104 4106 4107 4108 4109 4110 4111 4112 4113 4116 4301 4302 4303 4304 4305 4306 4307 4308 4309 4310 4311 4312 4313 4314 4315 4316 4317 4318 4319 4320 4322 4323 4325 4327 4502 4503 4504 4505 4506 4507 4508 4510 4512 4513 4514 4518 4520 4522 4701 4702 4703 4704 4705 4707 4709 4710 4711 4713 4714 4715 4716 4717 4718 4720 4721 5101 5102 5103 5104 5105 5106 5107 5108 5109 5110 5111 5112 5113 5114 5115 5116 5117 5118 5119 5120 5121 5122 5123 5124 5125 5126 5131 5132 5301 5302 5303 5305 5306 5307 5308 5309 5310 5311 5312 5313 5314 5315 5316 5317 5318 5319 5320 shared parameter model of time to dropout and imps79 across time 3 The Mixed Procedure 5321 5322 5324 5325 5326 5328 5329 6101 6102 6103 6105 6106 6107 6108 6109 6110 6113 6114 6115 6116 6118 6119 6123 6301 6303 6304 6306 6307 6308 6309 6310 6312 6313 6315 6317 6318 6320 6321 6323 6327 7101 7102 7103 7104 7105 7106 7107 7108 7109 7110 7111 7112 7113 7114 7115 7116 7117 7118 7119 7120 7301 7302 7303 7304 7305 7306 7307 7308 7309 7310 7311 7312 7313 7314 7315 7316 7317 7318 7319 7320 7321 8101 8102 8103 8104 8105 8106 8107 8108 8109 8110 8111 8112 8113 8114 8115 8116 8117 8118 8119 8122 8124 8125 8126 8301 8302 8303 8304 8305 8306 8307 8308 8309 8310 8311 8312 8313 8314 8315 8316 8317 8318 8319 8320 8322 8325 8326 8331 9101 9102 9103 9104 9106 9107 9108 9110 9111 9112 9114 9116 9301 9302 9303 9304 9305 9306 9307 9309 9310 9311 9312 9313 9314 9315 9316 Dimensions Covariance Parameters 4 Columns in X 4 Columns in Z Per Subject 2 Subjects 437 Max Obs Per Subject 5 Number of Observations Number of Observations Read 1603 Number of Observations Used 1603 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Log Like Criterion 0 1 5191.43394785 1 2 4649.49942319 0.00054622 shared parameter model of time to dropout and imps79 across time 4 The Mixed Procedure Iteration History Iteration Evaluations -2 Log Like Criterion 2 1 4649.00415990 0.00000607 3 1 4648.99895119 0.00000000 Convergence criteria met. Estimated G Matrix Row Effect id Col1 Col2 1 Intercept 1103 0.3687 0.02085 2 sweek 1103 0.02085 0.2420 Estimated G Correlation Matrix Row Effect id Col1 Col2 1 Intercept 1103 1.0000 0.06980 2 sweek 1103 0.06980 1.0000 Covariance Parameter Estimates Standard Z Cov Parm Subject Estimate Error Value Pr Z UN(1,1) id 0.3687 0.06035 6.11 <.0001 UN(2,1) id 0.02085 0.03376 0.62 0.5368 UN(2,2) id 0.2420 0.03426 7.06 <.0001 Residual 0.5778 0.03049 18.95 <.0001 Fit Statistics -2 Log Likelihood 4649.0 AIC (smaller is better) 4665.0 AICC (smaller is better) 4665.1 BIC (smaller is better) 4697.6 shared parameter model of time to dropout and imps79 across time 5 The Mixed Procedure Null Model Likelihood Ratio Test DF Chi-Square Pr > ChiSq 3 542.43 <.0001 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| Intercept 5.3480 0.08790 435 60.84 <.0001 drug 0.04634 0.1011 729 0.46 0.6469 sweek -0.3361 0.06794 435 -4.95 <.0001 drug*sweek -0.6405 0.07752 729 -8.26 <.0001 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F drug 1 729 0.21 0.6469 sweek 1 435 24.47 <.0001 drug*sweek 1 729 68.28 <.0001 shared parameter model of time to dropout and imps79 across time 6 The LOGISTIC Procedure Model Information Data Set WORK.DATR Response Variable outcome Number of Response Levels 6 Model cumulative cloglog Optimization Technique Fisher's scoring Number of Observations Read 437 Number of Observations Used 437 Response Profile Ordered Total Value outcome Frequency 1 1 37 2 2 10 3 3 42 4 4 5 5 5 8 6 6 335 Probabilities modeled are cumulated over the lower Ordered Values. Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Score Test for the Equal Slopes Assumption Chi-Square DF Pr > ChiSq 1.3192 4 0.8581 Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 751.805 743.191 SC 772.205 767.670 -2 Log L 741.805 731.191 shared parameter model of time to dropout and imps79 across time 7 The LOGISTIC Procedure Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 10.6143 1 0.0011 Score 11.2846 1 0.0008 Wald 11.4324 1 0.0007 Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 1 -1.9488 0.2070 88.6248 <.0001 Intercept 2 1 -1.6956 0.1929 77.2415 <.0001 Intercept 3 1 -0.9941 0.1666 35.5947 <.0001 Intercept 4 1 -0.9315 0.1650 31.8536 <.0001 Intercept 5 1 -0.8370 0.1629 26.4087 <.0001 drug 1 -0.6934 0.2051 11.4324 0.0007 Association of Predicted Probabilities and Observed Responses Percent Concordant 29.0 Somers' D 0.149 Percent Discordant 14.0 Gamma 0.347 Percent Tied 57.0 Tau-a 0.059 Pairs 37711 c 0.575 shared parameter model of time to dropout and imps79 across time 8 The NLMIXED Procedure Specifications Data Set WORK.ALL Dependent Variable outcome Distribution for Dependent Variable General Random Effects u1 u2 Distribution for Random Effects Normal Subject Variable id Optimization Technique Dual Quasi-Newton Integration Method Adaptive Gaussian Quadrature Dimensions Observations Used 2040 Observations Not Used 0 Total Observations 2040 Subjects 437 Max Obs Per Subject 6 Parameters 14 Quadrature Points 1 Parameters b0 b1 b2 b3 sde v0 v01 v1 a1 5.35 0.05 -0.34 -0.64 0.76 0.61 0.02 0.49 -0.69 Parameters i1 i2 i3 i4 i5 NegLogLike -1.95 -1.7 -0.99 -0.84 -0.69 2694.77325 Iteration History Iter Calls NegLogLike Diff MaxGrad Slope 1 5 2690.74771 4.02554 20.28337 -494.587 2 7 2690.49745 0.250265 9.773943 -1.20259 3 9 2690.40354 0.093903 8.381476 -0.39879 4 10 2690.30823 0.095316 14.25284 -0.20701 5 11 2690.19767 0.110553 8.160486 -0.46034 6 13 2690.16999 0.027683 3.642467 -0.14282 7 14 2690.13223 0.03776 2.288574 -0.06972 8 16 2690.12474 0.007487 2.121428 -0.02875 9 17 2690.12081 0.003937 1.045887 -0.01408 shared parameter model of time to dropout and imps79 across time 9 The NLMIXED Procedure Iteration History Iter Calls NegLogLike Diff MaxGrad Slope 10 18 2690.11647 0.004336 0.764079 -0.00635 11 19 2690.10969 0.006776 0.477703 -0.00239 12 21 2690.10663 0.003061 0.405248 -0.00461 13 23 2690.1059 0.000732 0.483421 -0.00055 14 25 2690.10129 0.004608 1.339999 -0.00107 15 26 2690.09565 0.00564 0.487291 -0.00528 16 28 2690.09443 0.001225 0.318229 -0.00075 17 30 2690.0941 0.000326 0.126393 -0.00057 18 32 2690.09405 0.000052 0.029013 -0.00006 19 34 2690.09405 1.601E-6 0.000431 -3.05E-6 NOTE: GCONV convergence criterion satisfied. Fit Statistics -2 Log Likelihood 5380.2 AIC (smaller is better) 5408.2 AICC (smaller is better) 5408.4 BIC (smaller is better) 5465.3 Parameter Estimates Standard Parameter Estimate Error DF t Value Pr > |t| Alpha Lower Upper Gradient b0 5.3480 0.08791 435 60.83 <.0001 0.05 5.1752 5.5208 0.000103 b1 0.04634 0.1012 435 0.46 0.6471 0.05 -0.1525 0.2451 -0.0001 b2 -0.3361 0.06802 435 -4.94 <.0001 0.05 -0.4698 -0.2024 -0.00006 b3 -0.6405 0.07764 435 -8.25 <.0001 0.05 -0.7931 -0.4879 0.00002 sde 0.7601 0.02006 435 37.90 <.0001 0.05 0.7207 0.7995 0.000155 v0 0.6072 0.04970 435 12.22 <.0001 0.05 0.5095 0.7049 -0.00011 v01 0.02085 0.03376 435 0.62 0.5372 0.05 -0.04550 0.08720 -0.00031 v1 0.4920 0.03482 435 14.13 <.0001 0.05 0.4235 0.5604 0.000028 a1 -0.6934 0.2050 435 -3.38 0.0008 0.05 -1.0964 -0.2904 0.00022 i1 -1.9488 0.2066 435 -9.43 <.0001 0.05 -2.3549 -1.5426 0.000192 i2 -1.6956 0.1925 435 -8.81 <.0001 0.05 -2.0740 -1.3172 -0.00043 i3 -0.9941 0.1665 435 -5.97 <.0001 0.05 -1.3213 -0.6669 0.000075 i4 -0.9315 0.1650 435 -5.65 <.0001 0.05 -1.2557 -0.6073 -0.00007 i5 -0.8370 0.1628 435 -5.14 <.0001 0.05 -1.1571 -0.5170 0.000406 shared parameter model of time to dropout and imps79 across time 10 The NLMIXED Procedure Specifications Data Set WORK.ALL Dependent Variable outcome Distribution for Dependent Variable General Random Effects u1 u2 Distribution for Random Effects Normal Subject Variable id Optimization Technique Dual Quasi-Newton Integration Method Adaptive Gaussian Quadrature Dimensions Observations Used 2040 Observations Not Used 0 Total Observations 2040 Subjects 437 Max Obs Per Subject 6 Parameters 18 Quadrature Points 5 Parameters b0 b1 b2 b3 sde v0 v01 v1 a1 5.37 0.048 -0.33 -0.68 0.79 0.51 0.08 0.4 -1.59 Parameters a2 a3 a4 a5 i1 i2 i3 i4 i5 1.19 -0.22 -0.41 -1.43 -2.13 -1.94 -1.21 -1.12 -0.96 Parameters NegLogLike 2692.74217 Iteration History Iter Calls NegLogLike Diff MaxGrad Slope 1 3 2691.61647 1.125702 110.3775 -605.833 2 5 2688.90385 2.712624 19.17288 -4.13705 3 7 2688.15845 0.745393 19.30422 -0.63132 shared parameter model of time to dropout and imps79 across time 11 The NLMIXED Procedure Iteration History Iter Calls NegLogLike Diff MaxGrad Slope 4 9 2687.23383 0.924626 22.69045 -0.83329 5 11 2686.18008 1.053745 18.38735 -1.1154 6 12 2685.27464 0.905447 27.80414 -0.81141 7 13 2684.3583 0.916337 19.89423 -1.13881 8 14 2683.94362 0.414683 38.42993 -0.59959 9 15 2683.32008 0.623534 6.874158 -1.00572 10 17 2682.98616 0.33392 13.61772 -0.26596 11 19 2681.83771 1.14845 20.06938 -0.26933 12 21 2678.30427 3.533445 35.62875 -1.3959 13 23 2677.10248 1.201791 11.92276 -3.10181 14 25 2676.5568 0.545673 11.34251 -1.17377 15 26 2676.09933 0.457472 12.90371 -0.5384 16 28 2675.8687 0.230632 8.148851 -0.40247 17 30 2675.80333 0.065374 4.255069 -0.10065 18 31 2675.78063 0.022698 5.188403 -0.05639 19 33 2675.72922 0.051407 2.103173 -0.07756 20 34 2675.65125 0.077966 2.452338 -0.02611 21 36 2675.62426 0.026994 1.376101 -0.04942 22 38 2675.617 0.007262 1.55999 -0.0092 23 40 2675.58557 0.03143 1.440788 -0.00806 24 42 2675.57384 0.011724 1.129377 -0.01439 25 44 2675.53702 0.036824 4.300852 -0.00408 26 46 2675.43653 0.100486 1.123436 -0.0592 27 48 2675.43161 0.004919 1.085785 -0.00582 28 50 2675.41162 0.019992 1.827376 -0.00368 29 52 2675.40087 0.010748 0.956619 -0.01217 30 53 2675.39924 0.001632 1.755726 -0.0014 31 55 2675.39027 0.008974 0.701197 -0.00987 32 56 2675.3787 0.011572 0.873893 -0.00587 33 58 2675.3646 0.014097 1.112685 -0.00108 34 60 2675.31356 0.051042 0.388793 -0.02131 35 62 2675.31334 0.000219 0.060518 -0.00041 36 64 2675.31333 7.564E-6 0.038867 -8.37E-6 NOTE: GCONV convergence criterion satisfied. Fit Statistics -2 Log Likelihood 5350.6 AIC (smaller is better) 5386.6 AICC (smaller is better) 5387.0 BIC (smaller is better) 5460.1 shared parameter model of time to dropout and imps79 across time 12 The NLMIXED Procedure Parameter Estimates Standard Parameter Estimate Error DF t Value Pr > |t| Alpha Lower Upper Gradient b0 5.3219 0.08831 435 60.26 <.0001 0.05 5.1483 5.4955 0.010507 b1 0.08553 0.1016 435 0.84 0.4001 0.05 -0.1141 0.2851 0.004045 b2 -0.2752 0.07262 435 -3.79 0.0002 0.05 -0.4179 -0.1325 0.006029 b3 -0.7319 0.08264 435 -8.86 <.0001 0.05 -0.8944 -0.5695 -0.00361 sde 0.7581 0.01987 435 38.16 <.0001 0.05 0.7190 0.7971 0.038867 v0 0.6068 0.04944 435 12.27 <.0001 0.05 0.5096 0.7040 0.019408 v01 0.01949 0.03399 435 0.57 0.5668 0.05 -0.04732 0.08629 0.023794 v1 0.5080 0.03508 435 14.48 <.0001 0.05 0.4391 0.5770 0.021306 a1 -0.7112 0.2830 435 -2.51 0.0123 0.05 -1.2674 -0.1550 -0.02182 a2 0.4674 0.3020 435 1.55 0.1224 0.05 -0.1262 1.0611 -0.03028 a3 0.8116 0.4011 435 2.02 0.0436 0.05 0.02326 1.5999 0.008897 a4 -0.6353 0.3635 435 -1.75 0.0813 0.05 -1.3498 0.07926 0.02974 a5 -1.5145 0.4633 435 -3.27 0.0012 0.05 -2.4251 -0.6039 -0.00195 i1 -2.2111 0.2758 435 -8.02 <.0001 0.05 -2.7532 -1.6689 0.024359 i2 -1.9438 0.2620 435 -7.42 <.0001 0.05 -2.4587 -1.4289 0.024508 i3 -1.1842 0.2325 435 -5.09 <.0001 0.05 -1.6412 -0.7272 0.016326 i4 -1.1146 0.2305 435 -4.84 <.0001 0.05 -1.5676 -0.6617 0.032343 i5 -1.0094 0.2276 435 -4.44 <.0001 0.05 -1.4567 -0.5621 0.015443