exam1-3 - Subject-specific profiles of BP vs min y 150 140...

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y 20 30 40 50 60 70 80 90 100 110 120 130 140 150 min 0 200 300 Subject-specific profiles of BP vs min
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y 20 40 60 80 100 120 140 min 0 200 300 Subject-specific profiles of BP vs min grp=1
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y 20 40 60 80 100 120 140 min 0 200 300 Subject-specific profiles of BP vs min grp=2
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y 20 40 60 80 100 120 140 min 0 200 300 Subject-specific profiles of BP vs min grp=3
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y 20 40 60 80 100 120 140 min 0 200 300 Subject-specific profiles of BP vs min grp=4
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y 20 30 40 50 60 70 80 90 100 110 120 130 140 150 NAME OF FORMER VARIABLE min001 min005 min010 min015 min030 min060 min120 min180 min240 Subject-specific profiles of BP vs meas occasion
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Estimate 70.0000 80.0000 90.0000 100.00 110.00 NAME OF FORMER VARIABLE min001 min005 min010 min015 min030 min060 min120 min180 min240 grp*time means, model M1 grp 1234
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Estimate 70.0000 80.0000 90.0000 100.00 110.00 min 0 100 200 300 grp*time means, model M1 grp 1234
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Estimate 70.0000 80.0000 90.0000 100.00 110.00 logmin 012345 grp*time means, model M1 grp 1234 6
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Model M1. Model profiles over time 1 Type=un The Mixed Procedure Model Information Data Set WORK.HAL2 Dependent Variable y Covariance Structure Unstructured Subject Effect grpid Estimation Method REML Residual Variance Method None Fixed Effects SE Method Kenward-Roger Degrees of Freedom Method Kenward-Roger Class Level Information Class Levels Values grp 4 1 2 3 4 id 11 1 2 3 4 5 6 7 8 9 10 11 time 9 min001 min005 min010 min015 min030 min060 min120 min180 min240 grpid 43 11 110 111 12 13 14 15 16 17 18 19 21 210 22 23 24 25 26 27 28 29 31 310 311 32 33 34 35 36 37 38 39 41 410 411 42 43 44 45 46 47 48 49 Dimensions Covariance Parameters 45 Columns in X 50 Columns in Z 0 Subjects 43 Max Obs Per Subject 9 Number of Observations Number of Observations Read 387 Number of Observations Used 291 Number of Observations Not Used 96 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 2341.29889268 1 2 2011.79834076 0.00622127
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Model M1. Model profiles over time 2 Type=un The Mixed Procedure Iteration History Iteration Evaluations -2 Res Log Like Criterion 2 2 2002.67212543 0.00383619 3 1 1993.47729520 0.00991047 4 1 1991.15395140 0.00710936 5 1 1984.40265705 0.00211085 6 1 1982.48750398 0.00033507 7 1 1982.20461713 0.00001429 8 1 1982.19344332 0.00000004 9 1 1982.19341222 0.00000000 Convergence criteria met. Estimated R Matrix for grpid 11 Row Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 1 394.69 471.80 256.81 310.37 257.38 236.61 301.70 315.42 259.29 2 471.80 799.04 420.48 478.40 452.27 397.84 455.83 437.39 397.97 3 256.81 420.48 588.81 541.37 330.32 325.87 298.22 284.85 298.28 4 310.37 478.40 541.37 581.96 375.67 362.33 347.07 346.48 346.38 5 257.38 452.27 330.32 375.67 355.54 282.48 279.51 266.88 275.06 6 236.61 397.84 325.87 362.33 282.48 298.17 270.53 279.03 252.17 7 301.70 455.83 298.22 347.07 279.51 270.53 351.59 337.04 296.27 8 315.42 437.39 284.85 346.48 266.88 279.03 337.04 357.90 304.19 9 259.29 397.97 298.28 346.38 275.06 252.17 296.27 304.19 338.72 Estimated R Correlation Matrix for grpid 11 Row Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 1 1.0000 0.8401 0.5327 0.6476 0.6871 0.6897 0.8099 0.8392 0.7091 2 0.8401 1.0000 0.6130 0.7015 0.8485 0.8151 0.8600 0.8179 0.7650 3 0.5327 0.6130 1.0000 0.9248 0.7219 0.7777 0.6554 0.6205 0.6679 4 0.6476 0.7015 0.9248 1.0000 0.8259 0.8698 0.7673 0.7592 0.7802 5 0.6871 0.8485 0.7219 0.8259 1.0000 0.8676 0.7905 0.7482 0.7926 6 0.6897 0.8151 0.7777 0.8698 0.8676 1.0000 0.8355 0.8542 0.7935 7 0.8099 0.8600 0.6554 0.7673 0.7905 0.8355 1.0000 0.9501 0.8585 8 0.8392 0.8179 0.6205 0.7592 0.7482 0.8542 0.9501 1.0000 0.8737 9 0.7091 0.7650 0.6679 0.7802 0.7926 0.7935 0.8585 0.8737 1.0000
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Model M1. Model profiles over time 3 Type=un The Mixed Procedure Covariance Parameter Estimates Cov Parm Subject Estimate UN(1,1) grpid 394.69 UN(2,1) grpid 471.80 UN(2,2) grpid 799.04 UN(3,1) grpid 256.81 UN(3,2) grpid 420.48 UN(3,3) grpid 588.81 UN(4,1) grpid 310.37 UN(4,2) grpid 478.40 UN(4,3) grpid 541.37 UN(4,4) grpid 581.96 UN(5,1) grpid 257.38 UN(5,2) grpid 452.27 UN(5,3) grpid 330.32 UN(5,4) grpid 375.67 UN(5,5) grpid 355.54 UN(6,1) grpid 236.61 UN(6,2) grpid 397.84 UN(6,3) grpid 325.87 UN(6,4) grpid 362.33 UN(6,5) grpid 282.48 UN(6,6) grpid 298.17 UN(7,1) grpid 301.70 UN(7,2) grpid 455.83 UN(7,3) grpid 298.22 UN(7,4) grpid 347.07 UN(7,5) grpid 279.51 UN(7,6) grpid 270.53 UN(7,7) grpid 351.59 UN(8,1) grpid 315.42 UN(8,2) grpid 437.39 UN(8,3) grpid 284.85 UN(8,4) grpid 346.48 UN(8,5) grpid 266.88 UN(8,6) grpid 279.03 UN(8,7) grpid 337.04 UN(8,8) grpid 357.90 UN(9,1) grpid 259.29 UN(9,2) grpid 397.97 UN(9,3) grpid 298.28 UN(9,4) grpid 346.38 UN(9,5) grpid 275.06 UN(9,6) grpid 252.17 UN(9,7) grpid 296.27 UN(9,8) grpid 304.19 UN(9,9) grpid 338.72
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exam1-3 - Subject-specific profiles of BP vs min y 150 140...

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