Not sure whether it makes sense [Design Issues]
Dear Abhimanyu,
Nothing since the effects in GLM or mixed are not dependent from the used sequences, only the number of levels of the effect "sequence" or "period" changes. But this has not to be specified in the code (SAS or others). It will be taken automatically from the dataset you use.
Thus you have:
in R lingo.
In SAS you have to modify the
❝ ...
❝ What would be change in Proc GlM / Proc Mixed for Calculate Swr, 95% Upper bound (Scaled), and 90% CI (Unscaled).
Nothing since the effects in GLM or mixed are not dependent from the used sequences, only the number of levels of the effect "sequence" or "period" changes. But this has not to be specified in the code (SAS or others). It will be taken automatically from the dataset you use.
Thus you have:
log(PK) ~ period + sequence + subject(sequence)
- for calculation of sWR log(PK) ~ treatment + period + sequence + subject(sequence)
- for 90% CIin R lingo.
In SAS you have to modify the
model
statement in Proc GLM
accordingly.—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- suggest suitable Sequence for Reference replicate and Two Different Test? SP 2019-07-29 14:31 [Design Issues]
- Not sure whether it makes sense Helmut 2019-07-29 17:25
- Not sure whether it makes sense abhimanyu 2019-08-03 13:54
- Not sure whether it makes sensed_labes 2019-08-03 19:35
- Not sure whether it makes sense abhimanyu 2019-08-05 09:27
- Not sure whether it makes sensed_labes 2019-08-03 19:35
- Not sure whether it makes sense abhimanyu 2019-08-03 13:54
- Not sure whether it makes sense Helmut 2019-07-29 17:25