Hello,

I am trying to formulate a glm model with repeated measures of viral  
blood counts where animal weight is a covariate. Animal treatment  
group is the fixed effect and subject is the random effect.  I'm  
thinking this situation calls for a mixed model in the Poisson family  
with data correlated to days post inoculation (DPI) where animal  
weight is factored out to not influence goodness of fit tests.

How might I alter the following code to reflect this situation?

glm(count~treatment,family=poisson)

If this is too much to ask, I understand!  I realize I've got a ways  
to go in writing this...

Many thanks!
Mark

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