Must admit I am lost [Regulatives / Guidelines]

posted by ElMaestro  – Denmark, 2011-10-14 02:02 (5367 d 16:32 ago) – Posting: # 7489
Views: 15,993

Dear yicaoting,

impressive amount of work.
I must admit you lost me completely quite early here. The reason might be that I do not speak WNL or SAS and/or that my brain is walnut-sized.
My problem is I cannot see what you are trying to achieve.

For my learning purposes and/or your consideration:
1. Why would you use PROC MIXED when not specifying a random effect?
2. Do you know what the documented behaviour of PROC MIXED is when no random effect is specified? There is an example in the online manual but it does not tell what the general behaviour is.
3. Fitting a mixed model with just a lone sigma2 on the diagnonal in the covariance matrix (=sigma2I) is conceptually similar to the linear model, the difference being just that missing values does not mean discarded subjects with PROC MIXED.
4. What is the documented behaviour of PROC MIXED when you specify the same effect as both random and fixed? If I get you right in this case [subject(sequence)] it just defaulted to sigma2 on the diagonal in the covariance matrix, but would anyone really specify a mixed model that way? I speculate, the inner works might simply skip the (or better: a) random effect if it has been already specified as fixed, which in your case just leads to pt. 2. above. If it does exactly the opposite (skips the fixed effect when it is specified as random) it would lead to the same.

Pass or fail!
ElMaestro

Complete thread:

UA Flag
Activity
 Admin contact
23,655 posts in 4,993 threads, 1,570 registered users;
121 visitors (0 registered, 121 guests [including 14 identified bots]).
Forum time: 18:34 CEST (Europe/Vienna)

Scientists often have a naïve faith that
if only they could discover enough facts about a problem,
these facts would somehow arrange themselves
in a compelling and true solution.    Theodosius Dobzhansky

The Bioequivalence and Bioavailability Forum is hosted by
BEBAC Ing. Helmut Schütz
HTML5