Bioequivalence and Bioavailability Forum

Keeping subjects in mixed-effects models [General Statistics]

posted by AngusMcLean – USA, 2014-01-24 17:28 (4523 d 16:00 ago) – Posting: # 12265
Views: 8,654

Thanks Helmut: the comparison work was done> 5 years ago before Phoenix Nonlin was introduced so I used the version of WinNonlin current at that time. The SAS was done using GLM model. The work in Kinetica was done just along the same lines as the other programs. It only works with the full data sets (i.e. no dropouts). I have since recently repeated the work using Phoenix WinNonlin and the results is exactly the same as previous work in WinNonlin.

❝ ❝ All of the subjects completed the study. I showed that the result were identical in SAS (GLM) and WinNonlin and Kinetica.

current

Helmut: I take it your remarks below for WinNonlin also apples to current Phoenix Nonlin program yes?

❝ Note that Proc GLM = WinNonlin only for complete data sets (balanced or imbalanced, but subjects completed all periods). For imbalanced data sets Proc Mixed = WinNonlin; if you want to get the same results as Proc GLM you have to exclude incomplete subjects in WinNonlin.

Angus

Complete thread:

BE and drop out subjects Phoenix AngusMcLean 2014-01-24 00:02
- Keeping subjects in mixed-effects models Helmut 2014-01-24 04:18
  - Keeping subjects in mixed-effects models AngusMcLean 2014-01-24 14:26
    - Keeping subjects in mixed-effects models Helmut 2014-01-24 15:28
      - Keeping subjects in mixed-effects modelsAngusMcLean 2014-01-24 16:28
        
        Keeping subjects in mixed-effects models Helmut 2014-01-24 16:59
      - Keeping subjects in mixed-effects models AngusMcLean 2014-01-26 15:58
        
        SAP Helmut 2014-01-26 16:25

Keeping subjects in mixed-effects models [General Sta­tis­tics]

Complete thread:

Keeping subjects in mixed-effects models [General Statistics]