Mixed interest [General Statistics]
Dear Helmut!
Then you may find this also interesting
.
Results of Proc MIXED FDA code:
And just more interesting: Analysis according to D. Brown (EMA) of data under treatment with R only, employing an ANOVA with period, sequence and subject within sequence effects (all fixed):
(All colors by me).
Very near to the MIXED results. But maybe this coincidence is by chance.
Note also that this is not the same as the analysis via intra-subject contrasts R1-R2 with
s2WR= 0.143318, sWR= 0.378573 (Paolos result), CV=0.392551.
But never trust estimates with questionable convergence in REML (WINNONLIN definitely warns at least "Output is suspect", R's lme() will throw an error if not converged and will not give you any parameter estimate or will not give any CI for the covariance parameters if VarCov is not positive definite, but the incredible
tells all estimates as if nothing happens
).
❝ I found it interesting that ABE's CVWR 0.452397 matched Paolo's
❝ teacher's 0.452 (though I'm not sure what he means by 'reference
❝ variability').
Then you may find this also interesting

Results of Proc MIXED FDA code:
...
The Mixed Procedure
Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 306.93584974
1 3 274.26626278 8.89107758
...
4 1 272.91032505 0.00000213
5 1 272.91032497 0.00000001
Convergence criteria met but final hessian is not positive
definite.
Estimated G Matrix
Row Effect Treatment Subject Col1 Col2
1 Treatment R 1 0.3313 0.2581
2 Treatment T 1 0.2581 0.3596
Covariance Parameter Estimates
Cov Parm Subject Group Estimate
FA(1,1) Subject 0.5756
FA(2,1) Subject 0.4485
FA(2,2) Subject 0.3981
Residual Subject Treatment R 0.1862 (CV=0.4524)
Residual Subject Treatment T 0.3269
...
And just more interesting: Analysis according to D. Brown (EMA) of data under treatment with R only, employing an ANOVA with period, sequence and subject within sequence effects (all fixed):
...
The GLM Procedure
Dependent Variable: ln_Cmax ln_Cmax
Sum of
Source DF Squares Mean Square F Value Pr > F
Model 45 38.86413212 0.86364738 4.73 <.0001
Error 42 7.66318204 0.18245672
Corrected Total 87 46.52731416
...
(All colors by me).
Very near to the MIXED results. But maybe this coincidence is by chance.
Note also that this is not the same as the analysis via intra-subject contrasts R1-R2 with
s2WR= 0.143318, sWR= 0.378573 (Paolos result), CV=0.392551.
But never trust estimates with questionable convergence in REML (WINNONLIN definitely warns at least "Output is suspect", R's lme() will throw an error if not converged and will not give you any parameter estimate or will not give any CI for the covariance parameters if VarCov is not positive definite, but the incredible
![[image]](img/uploaded/image2.gif)

—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- SABE Reference Variability and CI Computation preyes323 2010-07-12 17:12 [General Statistics]
- Dataset Helmut 2010-07-12 17:26
- Dataset preyes323 2010-07-12 18:20
- Data format Helmut 2010-07-12 18:38
- Data format preyes323 2010-07-13 01:16
- SAS and/or Phoenix/WinNonlin-experts around? Helmut 2010-07-13 02:29
- Phoenix/WinNonlin-experts around? d_labes 2010-07-13 12:15
- Phoenix/WinNonlin-experts around? Helmut 2010-07-13 13:42
- Mixed interestd_labes 2010-07-13 15:11
- Mixed interest Helmut 2010-07-13 19:19
- lme() answer and beyond ... d_labes 2010-07-14 10:41
- lme() answer and beyond ... Helmut 2010-07-14 13:47
- AIC, BIC and that all ... d_labes 2010-07-15 12:01
- lme() answer and beyond ... Helmut 2010-07-14 13:47
- lme() answer and beyond ... d_labes 2010-07-14 10:41
- Mixed interest Helmut 2010-07-13 19:19
- Mixed interestd_labes 2010-07-13 15:11
- Phoenix/WinNonlin-experts around? Helmut 2010-07-13 13:42
- Phoenix/WinNonlin-experts around? d_labes 2010-07-13 12:15
- To Err is Human d_labes 2010-07-13 11:51
- To Err is Human, but... Helmut 2010-07-13 13:45
- ... to Arr is Pirate d_labes 2010-07-13 15:47
- Brilliant page!!! ElMaestro 2010-07-14 21:03
- ... to Arr is Pirate d_labes 2010-07-13 15:47
- To Err is Human preyes323 2010-07-14 14:45
- Heads up! Helmut 2010-07-14 15:17
- To Err is Teacher d_labes 2010-07-15 11:05
- To Err is Human preyes323 2010-07-16 02:28
- To Err is Human d_labes 2010-07-16 10:42
- To Err is Human preyes323 2010-07-17 11:14
- Regulatory constants d_labes 2010-07-19 10:00
- To Err is Human preyes323 2010-07-17 11:14
- To Err is Human d_labes 2010-07-16 10:42
- To Err is Human, but... Helmut 2010-07-13 13:45
- Data format ElMaestro 2011-02-06 11:54
- SAS System Viewer Helmut 2011-02-06 13:02
- SAS and/or Phoenix/WinNonlin-experts around? Helmut 2010-07-13 02:29
- Data format preyes323 2010-07-13 01:16
- Data format Helmut 2010-07-12 18:38
- Dataset preyes323 2010-07-12 18:20
- Dataset Helmut 2010-07-12 17:26