Dear list members,

I have a dataset consisting of weights collected from two flocks of
chickens; treatments (infected with some bug) and controls (given a
placebo). The same two groups were followed overtime and the weight of each
chicken was taken at seven equally spaced time points. I need to assess the
effect of treatment and time on body weight, but I may have
pseudo-replication problem here since seven measurements were collected from
each bird overtime the course of the experiment. Having said that, I thought
that including chicken ID as random intercept would help me circumvent this
issue, but unfortunately, the chickens were not individually identified and
the repeated measures can't be allocated to each of the birds. 
I guess this will preclude me from implementing a mixed effects model. Is
there a way / analytical approach to circumvent this problem, i.e. get rid
the pseudo-replication issue?

Thank you in advance and happy New Year!

Luciano La Sala  



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