Log in
RegisterRandomization before or after sample analysis [General Statistics]
Hi Ken,
Discarding subjects to make design balanced is not right, you would lose valuable information. It is Neither good idea nor any regulatory allow you to do so.
As Detlew said, SAS’s PROC GLM as well as WinNonlin will take care of calculation of unbalanced designs. Don’t worry.
I would say, It will be cumbersome to justify the exclusion of subjects from regulatory point of view.
Regards,
Tushar
Discarding subjects to make design balanced is not right, you would lose valuable information. It is Neither good idea nor any regulatory allow you to do so.
As Detlew said, SAS’s PROC GLM as well as WinNonlin will take care of calculation of unbalanced designs. Don’t worry.
❝ Which is the right approach ? 
I would say, It will be cumbersome to justify the exclusion of subjects from regulatory point of view.
Regards,
Tushar
Complete thread:
- Randomization before or after sample analysis Ken Peh 2014-05-05 18:44
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- Dropping subjects to be balanced? d_labes 2014-05-06 08:09
- Randomization before or after sample analysisTushar.g 2014-05-06 13:41
Ing. Helmut Schütz