Jérôme Martin
☆    

France,
2013-08-27 20:28
(4674 d 08:03 ago)

Posting: # 11363
Views: 5,418
 

 Theoretical questions about cross-over model [General Sta­tis­tics]

Hello everybody,

I have theoretical questions about computing BE and making the link with statistical model. Considering the statistical linear model for cross-over design :
Xijlk = µ + Tl + Pk + SEj + SUi|SEj + eijkl

With:
Xijlk: ln-transformed response
µ: overall mean
Tl: fixed formulation effect
Pk: fixed period effect
SEj: fixed sequence effect
SUi|SEj: random effect of the ith subject in the jth sequence (nested)
eijkl: independent random effects

I have two questions:
1/ did I write this statistical model correctly for a 2x2x2 cross-over design? I assume T + P + SE + SU|SE are the CVinter and eijkl the CVintra. I am right? Why in the bebac presentations there is multiplicative model roughly the same with “*” instead of “+” and withoud the nested part “SUi|SEj” I have found in other references? Any relevant links?
2/ in PowerTOST (nice package!), I enter the T/R ratio when I use the power.TOST() function (I suppose that’s T in my model) and CVintra that corresponds to eijkl, did it suppose that there is no effect of P (period), SE (sequence) and SU|SE (subject nested in sequence)?

Thanks to the people who will try to respond to these deep questions for me!

Jérôme
ElMaestro
★★★

Denmark,
2013-08-27 21:52
(4674 d 06:39 ago)

@ Jérôme Martin
Posting: # 11364
Views: 4,246
 

 Theoretical questions about cross-over model

Hi J M,

❝ I have theoretical questions about computing BE and making the link with statistical model. Considering the statistical linear model for cross-over design :

Xijlk = µ + Tl + Pk + SEj + SUi|SEj + eijkl


❝ With:

Xijlk: ln-transformed response

❝ µ: overall mean

❝ Tl: fixed formulation effect

❝ Pk: fixed period effect

❝ SEj: fixed sequence effect

❝ SUi|SEj: random effect of the ith subject in the jth sequence (nested)

❝ eijkl: independent random effects


❝ I have two questions:

❝ 1/ did I write this statistical model correctly for a 2x2x2 cross-over design? I assume T + P + SE + SU|SE are the CVinter and eijkl the CVintra. I am right?


For EU you will need to treat the subject effect as fixed.
Depending on your coding your may or may not want/need to speak of the nesting.
"ijlk".... do you use another version of the alphabet in France? :-D

❝ Why in the bebac presentations there is multiplicative model roughly the same with “*” instead of “+” and withoud the nested part “SUi|SEj” I have found in other references? Any relevant links?


Yeah, even oracles make mistakes.
"Xijk: ln-transformed response of j-th subject" he meant un-transformed as long as we have * signs between factors.

❝ 2/ in PowerTOST (nice package!), I enter the T/R ratio when I use the power.TOST() function (I suppose that’s T in my model) and CVintra that corresponds to eijkl, did it suppose that there is no effect of P (period), SE (sequence) and SU|SE (subject nested in sequence)?


This is the wrong question. Sequence, Period, Subjects effects do not influence our decision about BE. Period and Sequence effects are nuissance effects. Subjects differ generally - in most studies you will see a P-value that is low.

Pass or fail!
ElMaestro
Helmut
★★★
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Homepage
Vienna, Austria,
2013-08-28 15:56
(4673 d 12:34 ago)

@ ElMaestro
Posting: # 11369
Views: 4,224
 

 Multiplicative of untransformed = additive of transformed

Hi ElMaestro & Jérôme,

❝ ❝ Why in the bebac presentations there is multiplicative model roughly the same with “*” instead of “+” and withoud the nested part “SUi|SEj” I have found in other references? Any relevant links?


❝ Yeah, even oracles make mistakes.

❝ "Xijk: ln-transformed response of j-th subject" he meant un-transformed as long as we have * signs between factors.


Oh no! Of course it should read “untransformed”. THX for finding this error!

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