On Jun 5, 2012, at 4:52 AM, lincoln wrote:
Thank you for your commentaries and suggestions.
Site 0 and site 1 are interpretable like events.
In fact these data come from a simultaneous observations of
individuals in
two different sites (so they are independent observations: while one
individual is observed in one site it can't be in another).
Each individual is assigned to age "0" (first year of age), or
"1" (all the
rest); even though it may seem a very strong (brutal?) pooling, from a
biological point of view it makes sense given these two classes of
individuals are quite homogeneous in their dispersal behavior within
each
age class (0 or 1). The goal of this analysis is just to
characterize their
dispersal behavior (which individuals stay home at site 0 and which
ones
disperse to site 1?
This is making me think you really have multiple observation on the
same individuals (and that persons make transitions from one state to
another as a result of the passage of time. That needs a more complex
analysis than "simple" logistic regression. You might consider posting
a more complete description of the study on the SIG Mixed Effects
mailing list.
--
David.
About the "birth" issue, here I am more in doubt. "Birth" relates to
the
month of birth (5= May, 6= June, 7= July). It seems to me too it is
a quite
severe pooling (one individual born 1st June is 5 as one individual
born
30th June but one individual born 30th May or 1st July is 4 or 6 - it
doesn't make much sense). Anyway I didn't find a way to better
measure this
variable as there is no a real starting and ending point, more or less
individuals may born since 1st May up to 31th July (I mean in my
data set
there are no individuals born before and after these dates).
Any hint?
--
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