Conventional Generalized Gamma Regression Model 1 The NLMIXED Procedure Specifications Data Set WORK.HIV Dependent Variable exit Distribution for Dependent Variable General Optimization Technique Dual Quasi-Newton Integration Method None Dimensions Observations Used 2314 Observations Not Used 0 Total Observations 2314 Parameters 6 Parameters b1 b2 b3 b4 sigma lambda NegLogLike 1 1 1 1 1 0.5 2831.5946 Iteration History Iter Calls NegLogLike Diff MaxGrad Slope 1 14 2639.90354 191.6911 239.9514 -15603.4 2 21 2522.18792 117.7156 291.3019 -595.146 3 28 2366.99559 155.1923 138.73 -305.901 4 42 2298.14817 68.84742 69.55245 -83.0205 5 49 2283.89064 14.25752 68.87714 -48.3541 6 57 2278.67076 5.219884 84.15242 -65.5574 7 64 2271.91771 6.753047 27.6239 -14.1827 8 72 2270.974 0.943714 14.62101 -6.48431 9 79 2269.48898 1.485023 8.558303 -3.12406 10 87 2269.35787 0.131108 2.143362 -0.25479 11 95 2269.34926 0.008612 0.246287 -0.01288 12 103 2269.34914 0.000112 0.101348 -0.00027 13 111 2269.34914 5.312E-6 0.005368 -0.00001 NOTE: GCONV convergence criterion satisfied. Fit Statistics -2 Log Likelihood 4538.7 AIC (smaller is better) 4550.7 AICC (smaller is better) 4550.7 Conventional Generalized Gamma Regression Model 2 The NLMIXED Procedure Fit Statistics BIC (smaller is better) 4585.2 Parameter Estimates Standard Parameter Estimate Error DF t Value Pr > |t| Alpha Lower b1 0.6428 0.05525 2314 11.64 <.0001 0.05 0.5345 b2 0.7937 0.05285 2314 15.02 <.0001 0.05 0.6901 b3 1.9614 0.09686 2314 20.25 <.0001 0.05 1.7715 b4 2.9144 0.09070 2314 32.13 <.0001 0.05 2.7365 sigma 0.8044 0.04214 2314 19.09 <.0001 0.05 0.7218 lambda 1.2701 0.1096 2314 11.59 <.0001 0.05 1.0552 Parameter Estimates Parameter Upper Gradient b1 0.7512 0.000305 b2 0.8974 0.004632 b3 2.1514 -0.00146 b4 3.0923 0.001559 sigma 0.8871 0.005368 lambda 1.4850 -0.00131 Covariance Matrix of Parameter Estimates Row Parameter b1 b2 b3 b4 sigma lambda 1 b1 0.003052 0.001210 0.001055 0.000761 -0.00121 0.003810 2 b2 0.001210 0.002794 0.001016 0.000733 -0.00124 0.003811 3 b3 0.001055 0.001016 0.009381 0.001084 -0.00047 0.003171 4 b4 0.000761 0.000733 0.001084 0.008227 -0.00034 0.002288 5 sigma -0.00121 -0.00124 -0.00047 -0.00034 0.001776 -0.00393 6 lambda 0.003810 0.003811 0.003171 0.002288 -0.00393 0.01201 Additional Estimates Standard Label Estimate Error DF t Value Pr > |t| Alpha Lower logsigma -0.2176 0.05239 2314 -4.15 <.0001 0.05 -0.3204 RT2-1 1.1629 0.06807 2314 17.08 <.0001 0.05 1.0294 RT3-1 3.7382 0.3798 2314 9.84 <.0001 0.05 2.9934 RT4-1 9.6946 0.9576 2314 10.12 <.0001 0.05 7.8167 Conventional Generalized Gamma Regression Model 3 The NLMIXED Procedure Additional Estimates Label Upper logsigma -0.1149 RT2-1 1.2964 RT3-1 4.4830 RT4-1 11.5725