Modelling Parallel bears [🇷 for BE/BA]

posted by d_labes  – Berlin, Germany, 2010-04-23 11:12 (5483 d 05:02 ago) – Posting: # 5193
Views: 58,205

Dear Yung-jin,

❝ Is this possible caused by unbalanced parallel data set?


:no: I have used the parallel group dataset from bear version 2.4.1, 10 subjects in each treatment group.

❝ ... Therefore, I don't know if it is appropriate to use lm() to run unbalanced dataset as you did here.

(underlined by me)

IMHO definitely yes.

BTW: My preferred lm() model would be EMs above :-D. I have all my days compared 2 parallel groups (if only 2) with t-test if only the treatment effect was under consideration. And this is a special case of one-way ANOVA with treatment as factor.
But if we consider different variabilities in the treatment groups it is another story!

To ask it again: What is the idea behind your model, where does it come from? Do you have a reference for me? lm() or lme() is only a question of considering some effects as random or not.

Regards,

Detlew

Complete thread:

UA Flag
Activity
 Admin contact
23,424 posts in 4,927 threads, 1,667 registered users;
29 visitors (0 registered, 29 guests [including 4 identified bots]).
Forum time: 16:15 CEST (Europe/Vienna)

It is true that many scientists are not philosophically minded
and have hitherto shown much skill and ingenuity
but little wisdom.    Max Born

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