%%%% BEGIN CODE PPT %%%%%%% title 'MAIN ANALYSIS ITT: PPT'; options nocenter pageno=1 ps=32767 ls=250; proc mixed data=work.pex4; class PtID Gruppe_XY Male Week; model deltaPPTimp = Gruppe_XY|Week PPT_0/ddfm=satterth; random PtID /subject=PtID; repeated Week / subject=PtID type=sp(gau)(Week) local ; lsmeans Gruppe_XY*Week / cl pdiff; run; %%%% END OF CODE %%%%%%% %%%% BEGIN OUTPUT %%%%%%% MAIN ANALYSIS ITT: PPT The Mixed Procedure Model Information Data Set WORK.PEX4 Dependent Variable deltaPPTimp Covariance Structures Variance Components, Spatial Gaussian Subject Effects PtID, PtID Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values PtID 99 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 Gruppe_XY 2 X Y Male 2 0 1 Week 2 14 26 Dimensions Covariance Parameters 4 Columns in X 10 Columns in Z Per Subject 99 Subjects 99 Max Obs Per Subject 2 Number of Observations Number of Observations Read 200 Number of Observations Used 198 Number of Observations Not Used 2 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 1239.713251 1 2 1235.640958 0 Convergence criteria met but final hessian is not positive definite. Covariance Parameter Estimates Cov Parm Subject Estimate PtID PtID 6.4477 Variance PtID 24.3709 SP(GAU) PtID 1 Residual 0.9659 Fit Statistics -2 Res Log Likelihood 1235.6 AIC (smaller is better) 1243.6 AICC (smaller is better) 1243.9 BIC (smaller is better) 1254 Type 3 Tests of Fixed Effects Effect Num DF Den DF F Value Pr > F Gruppe_XY 1 96.1 0.02 0.8881 Week 1 96.9 0.57 0.4515 Gruppe_XY*Week 1 96.9 0.9 0.3458 PPT_0 1 96.1 41.18 <.0001 Least Squares Means Effect Gruppe_XY Week Estimate Standard Error DF t Value Pr > |t| Alpha Lower Upper Gruppe_XY*Week X 14 0.5941 0.8055 185 0.74 0.4617 0.05 -0.9951 2.1833 Gruppe_XY*Week X 26 -0.6246 0.8055 185 -0.78 0.4391 0.05 -2.2138 0.9646 Gruppe_XY*Week Y 14 0.04035 0.7974 185 0.05 0.9597 0.05 -1.5329 1.6136 Gruppe_XY*Week Y 26 0.1772 0.7974 185 0.22 0.8244 0.05 -1.3961 1.7504 Differences of Least Squares Means Effect Gruppe_XY Week Gruppe_XY Week Estimate Standard Error DF t Value Pr > |t| Alpha Lower Upper Gruppe_XY*Week X 14 X 26 1.2187 1.0169 96.9 1.2 0.2337 0.05 -0.7996 3.2371 Gruppe_XY*Week X 14 Y 14 0.5538 1.1337 185 0.49 0.6258 0.05 -1.6828 2.7903 Gruppe_XY*Week X 14 Y 26 0.4169 1.1337 185 0.37 0.7135 0.05 -1.8197 2.6535 Gruppe_XY*Week X 26 Y 14 -0.665 1.1337 185 -0.59 0.5582 0.05 -2.9015 1.5716 Gruppe_XY*Week X 26 Y 26 -0.8018 1.1337 185 -0.71 0.4803 0.05 -3.0384 1.4348 Gruppe_XY*Week Y 14 Y 26 -0.1368 1.0067 96.9 -0.14 0.8922 0.05 -2.1349 1.8612 %%%% END OF OUTPUT %%%%%%% %%%% BEGIN CODE TS %%%%%%% title 'MAIN ANALYSIS ITT: TempSum'; options nocenter pageno=1 ps=32767 ls=250; proc mixed data=work.pex4; class PtID Gruppe_XY Male Week; model deltaTSimp = Gruppe_XY|Week TempSum_0/; random PtID /subject=PtID; repeated Week / subject=PtID type=sp(gau)(Week) local ; lsmeans Gruppe_XY*Week / cl pdiff; run; %%%% END OF CODE %%%%%%% %%%% BEGIN OUTPUT %%%%%%% MAIN ANALYSIS ITT: TempSum The Mixed Procedure Model Information Data Set WORK.PEX4 Dependent Variable deltaTSimp Covariance Structures Variance Components, Spatial Gaussian Subject Effects PtID, PtID Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values PtID 96 1 2 3 4 5 7 8 9 10 12 13 14 15 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 Gruppe_XY 2 X Y Male 2 0 1 Week 2 14 26 Dimensions Covariance Parameters 4 Columns in X 10 Columns in Z Per Subject 96 Subjects 96 Max Obs Per Subject 2 Number of Observations Number of Observations Read 200 Number of Observations Used 192 Number of Observations Not Used 8 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 3942.32664 1 1 3924.165903 0 Convergence criteria met but final hessian is not positive definite. Covariance Parameter Estimates Cov Parm Subject Estimate PtID PtID 28676312 Variance PtID 39621138 SP(GAU) PtID 1 Residual 1 Fit Statistics -2 Res Log Likelihood 3924.2 AIC (smaller is better) 3932.2 AICC (smaller is better) 3932.4 BIC (smaller is better) 3942.4 Type 3 Tests of Fixed Effects Effect Num DF Den DF F Value Pr > F Gruppe_XY 1 94 0.03 0.8635 Week 1 94 0.02 0.8981 Gruppe_XY*Week 1 94 0.02 0.8796 TempSum_0 1 94 74.18 <.0001 Least Squares Means Effect Gruppe_XY Week Estimate Standard Error DF t Value Pr > |t| Alpha Lower Upper Gruppe_XY*Week X 14 -3764.9 1195.61 94 -3.15 0.0022 0.05 -6138.81 -1391 Gruppe_XY*Week X 26 -4019.58 1195.61 94 -3.36 0.0011 0.05 -6393.48 -1645.67 Gruppe_XY*Week Y 14 -4149.6 1195.61 94 -3.47 0.0008 0.05 -6523.5 -1775.69 Gruppe_XY*Week Y 26 -4128.21 1195.61 94 -3.45 0.0008 0.05 -6502.11 -1754.3 Differences of Least Squares Means Effect Gruppe_XY Week Gruppe_XY Week Estimate Standard Error DF t Value Pr > |t| Alpha Lower Upper Gruppe_XY*Week X 14 X 26 254.67 1284.87 94 0.2 0.8433 0.05 -2296.46 2805.81 Gruppe_XY*Week X 14 Y 14 384.69 1694.75 94 0.23 0.8209 0.05 -2980.27 3749.66 Gruppe_XY*Week X 14 Y 26 363.3 1694.75 94 0.21 0.8307 0.05 -3001.66 3728.27 Gruppe_XY*Week X 26 Y 14 130.02 1694.75 94 0.08 0.939 0.05 -3234.94 3494.98 Gruppe_XY*Week X 26 Y 26 108.63 1694.75 94 0.06 0.949 0.05 -3256.33 3473.59 Gruppe_XY*Week Y 14 Y 26 -21.3897 1284.87 94 -0.02 0.9868 0.05 -2572.52 2529.74 %%%% END OF OUTPUT %%%%%%%