Mixed models, did someone figure out lme? [🇷 for BE/BA]

posted by ElMaestro  – Denmark, 2020-08-11 16:42 (1720 d 19:24 ago) – Posting: # 21857
Views: 3,511

Hi d_labes,


❝ what was the question?


The question is, how to fit a relevant model with lme and how to extract relevant variance components in an easy way? (as in, easier than in the post linked to).


❝ You may find here some hints for using nlme/lme() in evaluation of replicate cross-over designs.


I read the post many times since you originally posted it :-D
But I am none the wiser even after reading it many times. So, I feel I have an ok understanding of the mixed model, and I have an ok understanding of which variance components I can reasonably ask for; the next step is then to ask lme to get me what I want in an intuitive fashion. That last thing is not easy, and books like Pinheiro & Bates do not really get me there.

For example: I prefer to play with variance components directly without involvement of rho (correlation) for the covariance of T and R. Where do I start? Playing around with weights, correlation structure, etc may get me what I want (see the two threads linkeda above), but that stil does not mean I am using lme meaningfully or optimally, I feel.

Pass or fail!
ElMaestro

Complete thread:

UA Flag
Activity
 Admin contact
23,424 posts in 4,927 threads, 1,671 registered users;
83 visitors (0 registered, 83 guests [including 2 identified bots]).
Forum time: 12:06 CEST (Europe/Vienna)

There are two possible outcomes: if the result confirms the
hypothesis, then you’ve made a measurement. If the result is
contrary to the hypothesis, then you’ve made a discovery.    Enrico Fermi

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