Bioequivalence and Bioavailability Forum • lmer: Method B (PE catched for imbalanced dataset!!!) and Method C

lmer: Method B (PE catched for imbalanced dataset!!!) and Method C [🇷 for BE/BA]

posted by Astea – Russia, 2016-11-05 20:27 (3058 d 23:33 ago) – Posting: # 16778
Views: 20,598

mittyri!!!
May I hug you?! This is what I actually wanted to get spending two nights in a desperate attempt to apply Alexandra Kuznetsova's lmerTest to BE!

And the questions.. Still there are too many questions.

Why didn't you provide the result of the code (that's the way of secret initiation?)

First start with method B. My PE coincides fully with QA result (115.73), the CI calculated by your method slightly differs (107.26-124.88). But! What is that function - confint? May be something wrong with it? Cause if I use PE+-SE*t(0.1;219) where SE is 4.65e-02 I get 1,0717-1,2797 totally the target!!!

Please explain how to get Std.Error and Value with more digits?
I tried to add "digits=8" but nothing happened...

Why does the model have (1|Subject) as random? I also tried (1|Subject/Sequence) and the result (PE and CI) remains the same. Can we use it instead?

The other question is what from the output we can use to estimate R-variance in order to apply scABE?

We are in front of the final step - from now we can make R tutorial to hold scABEL as did Helmut in WinNonLin, am I right? If it is so, Es ist fantastisch! :ok:

—
"Being in minority, even a minority of one, did not make you mad"

Complete thread:

Bear vs. Phoenix & SAS Helmut 2015-04-20 17:34 [🇷 for BE/BA]
- 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 CAstea 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