Bioequivalence and Bioavailability Forum • R vs. Phoenix & SAS?

R vs. Phoenix & SAS? [🇷 for BE/BA]

posted by yjlee168 – Kaohsiung, Taiwan, 2015-04-20 21:36 (3714 d 01:43 ago) – Posting: # 14719
Views: 24,785

Dear Helmut,

❝ What would we need in bear?

Wow! thank you so much. But that's too much. It must be a typo. May I suggest as "what we can do with R?" There are lots of R users/gurus in this Forum.

❝ For the FDA that would be a mixed-effects model as given in the 2001 guidance and the progesterone guidance.

I like this.

❝ For the EMA we would need an “all effects fixed” model (Method A of the Q&A).

One stupid question :-D

: if EMA needs an "all effects fixed" model, why do we use a mixed model to do analysis? I don't remember lme() right now, but lmer() must have at least a random variable. I tried lmer() last night and was pretty sure about that. Does EMA imply that we should use lm() to analyze replicate crossover dataset? :confused:

❝ • FDA – RSABE: Again the progesterone guidance.

❝ EMA – ABEL: The Q&A, Methods A & B. Crippled model to get CV_wR...

❝ I would say, that’s the target.

You should try to get funded from EMA or FDA for these projects. These are really great projects, indeed.

—
All the best,
-- Yung-jin Lee
bear v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here

Complete thread:

Bear vs. Phoenix & SAS Helmut 2015-04-20 17:34
- R vs. Phoenix & SAS?yjlee168 2015-04-20 19:36
  - R vs. Phoenix & SAS? Helmut 2015-04-21 01:02
    - lme() does not work with all fixed effects yjlee168 2015-04-21 23:41
      - lme() does not work with all fixed effects Astea 2016-11-04 00:13
        
        lmer: Method B (PE catched for imbalanced dataset!!!) and Method C mittyri 2016-11-05 17:38
        
        lmer: Method B (PE catched for imbalanced dataset!!!) and Method C Astea 2016-11-05 19:27
        
        lmer: Method B is ready for scaling mittyri 2016-11-05 20:01
        
        lmer: Method B is ready for scaling Astea 2016-11-06 11:50
        
        lmer: Method B is ready for scaling mittyri 2016-11-07 06:07
- info for lsmeans yjlee168 2015-04-20 21:34
  - info for lsmeans Helmut 2015-04-21 01:15
    - once more about R and replicate designes Astea 2016-11-02 23:43
      - once more about R and replicate designes VStus 2016-11-06 11:34
        
        Getting variance components from the lmer output StatR 2017-02-03 13:53
        
        Getting variance components from the lmer output VStus 2017-02-03 15:47
        
        Getting variance components from the lmer output StatR 2017-02-03 17:12
        
        Getting variance components d_labes 2017-02-07 11:16
        
        Getting variance components StatR 2017-02-07 11:36
        Getting variance components StatR 2017-02-08 08:41
        
        Getting variance components d_labes 2017-02-08 10:13
        
        Getting variance components StatR 2017-02-08 10:19
        
        Data structure Helmut 2017-02-08 10:33
        
        Data structure StatR 2017-02-08 10:49