ANOVA party prevails [BE/BA News]
Dear All,
that makes me dumbfound!
Seems the ANOVA fraction of EMA statisticians has triumphed all along the line. Thus our crossing fingers was of no effect.
To summarize my understanding of this so-called "clarification":
The rationale behind that all I can't and will not discuss seriously
.
I thank my God that I'm only a quantum-theoretical chemist educationally and not a statistician. Thus I must not understand
.
BTW: The CVWT of Method C from SAS for dataset II is 3.87%.
Proc MIXED is complaining:
This is a strong sign of an over-specified model. That may be one of the sources of wider CIs compared to the simpler models.
that makes me dumbfound!

Seems the ANOVA fraction of EMA statisticians has triumphed all along the line. Thus our crossing fingers was of no effect.
To summarize my understanding of this so-called "clarification":
- Method C, the FDA approach, although giving more conservative CIs (Quote: "... Method C gives wider intervals ...", page 23) is dead. It is not named "Compatible with CHMP guideline". Thus we can not go with the same statistical evaluation for the FDA and EMA!
- Method B, simple mixed model assuming equal variabilities for Test and Reference and no formulation-by-subject interaction but random effect for subjects, acceptable if same results as Method A. For me it follows I have to use Method A.
Quote: "... in borderline cases and when there are many included subjects who only provide data for a subset of the treatment periods, additional analysis using method A might be required.", page 25.
- Method A, ANOVA assuming equal variabilities for Test and Reference and no formulation-by-subject interaction and all effects as fixed (including subjects!), is the method of choice to evaluate replicate cross-over studies, which are originally aimed to overcome the impossibility to estimate separate intra-subject variances for Test and Reference in a classical 2x2 cross-over.
- To overcome the flaw in the point above one has to evaluate the intra-subject variability for the Reference with neglecting a considerable part of the data, namely neglecting all data under Test.
- Evaluation of intra-subject variability of Test is not necessary at all (is not mentioned with any word), even in the case of a fully replicate design (data set I).
- Missing data will be handled adequately by the simple ANOVA(?). They termed that "unbalanced" in dataset I.
The rationale behind that all I can't and will not discuss seriously

I thank my God that I'm only a quantum-theoretical chemist educationally and not a statistician. Thus I must not understand

BTW: The CVWT of Method C from SAS for dataset II is 3.87%.
Proc MIXED is complaining:
The Mixed Procedure
Convergence criteria met but final hessian is not positive definite.
This is a strong sign of an over-specified model. That may be one of the sources of wider CIs compared to the simpler models.
—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- EMA BE-GL: Clarifications / Corrections? Helmut 2010-06-22 18:53
- Good news!? d_labes 2010-06-23 10:09
- Good news!? Helmut 2010-06-23 10:11
- Update Helmut 2011-02-05 18:48
- Q&A published 14 March 2011 Helmut 2011-03-16 13:44
- Q&A published 14 March 2011 ElMaestro 2011-03-16 14:20
- Phoenix/WinNonlin 6.1.0.173 Helmut 2011-03-17 04:23
- ANOVA party prevailsd_labes 2011-03-17 11:00
- THX! Helmut 2011-03-19 02:59
- Outlier d_labes 2011-03-24 11:55
- Outliers - yes, but how? Helmut 2011-03-24 15:09
- Questions and Ambiguities d_labes 2011-03-28 14:16
- Residuals and Outliers in Replicate Design Crossover Studies d_labes 2011-04-04 08:53
- Outliers - yes, but how? Helmut 2011-03-24 15:09
- Info requested ElMag 2011-03-24 12:45
- Confused as well... Helmut 2011-03-24 16:50
- Outlier d_labes 2011-03-24 11:55
- THX! Helmut 2011-03-19 02:59
- Q&A published 14 March 2011 Priyanka_S 2011-03-21 14:28
- SAS code: Warning d_labes 2011-03-21 16:08
- Copy & paste Helmut 2011-03-21 22:38
- Subtleties, flaws, questions d_labes 2011-03-22 09:24
- Subtleties, flaws, questions Helmut 2011-03-27 20:35
- Not estimable in the model The user 2017-03-14 10:16
- Not estimable in the model ElMaestro 2017-03-14 11:02
- Not estimable in the model The user 2017-03-14 12:13
- Not estimable in the model ElMaestro 2017-03-14 12:41
- Not estimable in the model The user 2017-03-14 12:13
- Not estimable in the model Helmut 2017-03-18 21:59
- Food not the same between groups Beholder 2021-11-10 14:35
- Food not the same between groups ElMaestro 2021-11-17 09:50
- Food not the same between groups Beholder 2021-11-10 14:35
- Not estimable in the model ElMaestro 2017-03-14 11:02
- Not estimable in the model The user 2017-03-14 10:16
- Subtleties, flaws, questions Helmut 2011-03-27 20:35
- Subtleties, flaws, questions d_labes 2011-03-22 09:24
- Copy & paste Helmut 2011-03-21 22:38
- SAS code: Warning d_labes 2011-03-21 16:08
- Q&A published 14 March 2011 Helmut 2011-03-16 13:44
- Update Helmut 2011-02-05 18:48
- Good news!? Helmut 2010-06-23 10:11
- Good news!? d_labes 2010-06-23 10:09