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RegisterConvergence problem in PROC MIXED [Software]
thank u
and this is the output when i analyzed the logauclast by using the same code
Regard
dixit
and this is the output when i analyzed the logauclast by using the same code
The Mixed Procedure
Model Information
Data Set WORK.PKPD1
Dependent Variable logauclast
Covariance Structures Factor Analytic, Variance
Components
Subject Effects subject, subject
Group Effect treatment
Estimation Method REML
Residual Variance Method None
Fixed Effects SE Method Model-Based
Degrees of Freedom Method Satterthwaite
Class Level Information
Class Levels Values
treatment 2 R T
period 3 1 2 3
sequence 3 RRT RTR TRR
subject 58 1 2 4 5 6 7 8 9 10 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 38 39 40 41 42 43 44 45
46 47 48 49 50 51 52 53 54 55
56 57 58 59 60
Dimensions
Covariance Parameters 5
Columns in X 9
Columns in Z Per Subject 2
Subjects 58
Max Obs Per Subject 3
Observations Used 174
Observations Not Used 0
Total Observations 174
Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 485.12566720
1 2 451.59833387 1.20878767
2 1 444.40184343 0.03925632
3 1 442.68719482 0.00074042
4 1 442.63682114 0.00049434
5 1 442.63665059 0.00000005
6 1 442.63664695 0.00000000
Convergence criteria met.
Estimated G Matrix
Row Effect treatment subject Col1 Col2
1 treatment R 1 0.4529 0.4233
2 treatment T 1 0.4233 0.5232
Covariance Parameter Estimates
Cov Parm Subject Group Estimate
FA(1,1) subject 0.6729
FA(2,1) subject 0.6291
FA(2,2) subject 0.3571
Residual subject treatment R 0.6289
Residual subject treatment T 0.09081
Fit Statistics
-2 Res Log Likelihood 442.6
AIC (smaller is better) 452.6
AICC (smaller is better) 453.0
BIC (smaller is better) 462.9
Null Model Likelihood Ratio Test
DF Chi-Square Pr > ChiSq
4 42.49 <.0001
Type 3 Tests of Fixed Effects
Num Den
Effect DF DF F Value Pr > F
treatment 1 53.9 .31 0.5820
sequence 2 57.2 1.91 0.1576
period 2 104 1.92 0.1520
Estimates
Label Estimate Standard DF t Value Pr > |t| Alpha lower Upper
Error
t Vs r 0.05318 0.09603 53.9 0.55 0.5820 0.1 -0.1075 0.2139
Least Squares Means
Standard
Effect treatment Estimate Error DF t Value Pr > |t|
treatment R 7.9762 0.1150 54.5 69.33 <.0001
treatment T 8.0294 0.1029 54.8 78.02 <.0001Regard
dixit
Complete thread:
- Convergence problem in PROC MIXED dixit 2010-03-21 10:19 [Software]
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
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- Convergence problem in PROC MIXED shri 2010-04-05 08:01
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- Convergence problem in PROC MIXED dixit 2010-03-23 19:15
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- Convergence problem in PROC MIXED dixit 2010-03-22 06:26
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Ing. Helmut Schütz