Hi!
First of all: I'm a newbie to both statistics and R, so please be
patient with me... I do however, like R because I've been programming
(pascal, IDL, perl, C etc) and designing models since -92, but never
related to statistics.
Ok, here we go:
I've got a set of 15 people, all of them observed over 10 weeks (10
analysed blood samples) with - let us kall it the A-value - influenced
by:
1) a half time of the A-value of ~3 weeks
2) intake through diet (constant in time for each individ, but a big
variation between the individs)
3) a treatment with a quick response, which may influence the A-value if
"sufficient" dose is given.
Problem:
I do not know the limit for "sufficient" in 3). I also think there is a
possibility the limit is individual, and thus may vary a lot between the
individs.
How do I approach such a problem? I know it's Friday, but I could not
during the week figure out a model telling me if the treatment were
significant or not...
Anyone out there willing to guide me?
Ked
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