Dear Martin,
It's possible that the GLM procedure of SAS with HELMERT in the REPEATED
may respond to your question, because, HELMERT permits to COMPARE each
level of the factor (the within=time in this case) with the MEAN of the
subsequent levels.
In the output: "Analysis of contrast variables"
you can see the level of significant (p value),
You can consider that the plateau is reached at time where
the p value become not significant.
But if you want to see that for each treatment, you must specify
the "By treatment" statement in Proc GLM and replace the statement
"model Y1-Y7 = treatment /nouni" by "model model Y1-Y7 = /nouni"
NB.
I think, that you must begin by plotting Y versus time by treatment to look
if you can expect a plateau from your data.
Good luck.
Hassane
|=======================================================|
| Hassane ABIDI (PhD) |
| Unite d'Epidemiologie; Centre Hospitalier Lyon-Sud |
| Pavillon 1.M, 69495 Pierre Benite Cedex, France |
| Tel: (33) 04 78 86 56 87 ; Fax: (33) 04 78 86 33 31 |
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[EMAIL PROTECTED] wrote:
>
> I have the following problem ...
>
> I have 5 treatments measured at 7 time
> intervals.
>
> How can I answer the following question: "At
> which point does each treatment reaches a
> plateau?"?
>
> I think this question can be answered by the PROC
> GLM procedure in SAS with HELMERT in the REPEATED
> statement.
>
> model Y1-Y7 = treatment /nouni
> repeated vis 7 helmert / canon printm printe;
>
> Am I right? If yes, how do I interpret the SAS
> output? Is there a p-value associated with the
> question "At which point does each treatment
> reaches a plateau?"?
>
> Thank you,
>
> Martin
>
> Sent via Deja.com http://www.deja.com/
> Before you buy.
>
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