Posthoc comparisons [Software]
Dear key,
nice that you accost me personally, but searching the forum you would have noticed that I don't have the slightest idea about
![[image]](img/uploaded/image1.gif)
Define 'working model'. For ABE, IBE/PBE?
I guess that your indices denote the order of administrations regardless the period? Let's have a look at FDA's baby:
So are you thinking about something like:
I don't think that your between occasion (within treatment) comparisons make sense - and I would say they are confounded with the period effect as well. Overall I'm not even sure whether I understand the rationale behind your four questions (especially the last two). In other words - what do you want to know?
I don't think so; I would say you are asking the wrong questions. But I'm only a statistical amateur and not gifted with
...
nice that you accost me personally, but searching the forum you would have noticed that I don't have the slightest idea about
![[image]](img/uploaded/image1.gif)
❝ Have a working SAS model for a replicate design, 2 treatments, 4 periods
❝ (each treatment is delivered twice).
Define 'working model'. For ABE, IBE/PBE?
❝ Now need to do followup analysis on the 4 individual treatment
❝ comparisons
❝ A1vA2
❝ B1vB2
❝ A1vB1
❝ A2vB2
❝
❝ and am having a little bother programming the model.
I guess that your indices denote the order of administrations regardless the period? Let's have a look at FDA's baby:
P1 P2 P3 P4
S1: T R R T
S2: R T T R
So are you thinking about something like:
P1 P2 P3 P4
S1: A1 B1 B2 A2
S2: B1 A1 A2 B2
I don't think that your between occasion (within treatment) comparisons make sense - and I would say they are confounded with the period effect as well. Overall I'm not even sure whether I understand the rationale behind your four questions (especially the last two). In other words - what do you want to know?
❝ Can this even be done using proc mixed?
I don't think so; I would say you are asking the wrong questions. But I'm only a statistical amateur and not gifted with
![[image]](img/uploaded/image2.gif)
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Helmut Schütz
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Proc Mixed for a replicate design kev 2010-03-25 16:35
- Posthoc comparisonsHelmut 2010-03-25 18:34
- Proc Mixed for a non-replicate design d_labes 2010-03-26 08:48
- Proc Mixed for a non-replicate design kev 2010-03-26 10:42