Typically X is time in months, Y is the feature of interest, and there is
one set
of X,Y data for each storage condition.
Unfortunately, all the X,Y sets have the SAME Y at X=0 .
The intention is to apply a random-slopes model and interest lies in
(a) are the slopes are sig diff,
(b) if not sig diff, getting a confidence region for a pooled slope.
The common 1st value messes this up - treating the datasets as
independent
is clearly wrong because the degrees of freedom won't be right. Leaving out
the
initial point means you can apply the model OK, but I don't like excluding
data.
I generally place the problem of finding a correct solution using all the
data
in the 'too-hard' basket -
any suggestions as to how I could get it into the 'can-do' basket ?
Thanks ...... Bob Kinley
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