Hi everyone

I am working on a multilevel model on cross-sectional data from multiple countries. I have a common outcome (~10%), so I want to estimate risk ratios instead of odds ratios. However, I have only estimated RR in GLMs with longitudinal data, and I can't find any good references on how to specificy my multilevel model correctly.

In GLM, I've used poisson with the IRR option (interpreted as RR), e.g.
Code:
poisson y x1 x2, cluster(id) irr
My current multilevel specification (with weighting specification as I am using survey data) is:
Code:
mepoisson y x1 x2 [pw=dweight] || country:, pweight(pweight) irr
Input would be highly appreciated.