Dear all,
I'm analyzing several different outcomes using a multilevel model
(GLLAMM) on my clustered data. One of the outcomes is count data with
some outliers (that I do not want to remove) and when fitting the
model using family(poisson) overdispersion is a problem. As
family(nbinomial) cannot be used within the GLLAMM framework, can
anyone guide me as to how I could solve this problem?
The program does not accept me using the family(gamma) for the model -
possibly because the program recognizes that it is count data.
Best regards,
Johan
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