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RegisterRevisit: X-over for more than 2 treatments [Design Issues]
Hi D_labe,
I got some free time to goof around here... Question, what statement(s) do you use in SAS (Proc GLM) to do the above, i.e, drop the data of the formulation not interested in for each comparison? Or you meant removing the data from that treatment completely from the dataset?
Thanks
John
❝ • If you follow the recommendation of the new EMA guidance (see page 14 under Subject accountability) you have to drop the data of the formulation not interested in for each comaparision (i.e. use only the data for T1 and R in comparing T1 vs. R, for instance). Then you will get different CV's for each comparision.
I got some free time to goof around here... Question, what statement(s) do you use in SAS (Proc GLM) to do the above, i.e, drop the data of the formulation not interested in for each comparison? Or you meant removing the data from that treatment completely from the dataset?
Thanks
John
Complete thread:
- Intrasubject CV in Partial Replicate Design (TRT) luvblooms4u 2010-11-18 06:12
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- X-over for more than 2 treatments d_labes 2010-11-18 14:23
- Revisit: X-over for more than 2 treatmentsjag009 2014-09-25 16:03
- Dropping data in analyzing X-over for more then 2 treatments d_labes 2014-09-26 14:26
- Revisit: X-over for more than 2 treatmentsjag009 2014-09-25 16:03
- X-over for more than 2 treatments d_labes 2010-11-18 14:23
Ing. Helmut Schütz