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.
My current multilevel specification (with weighting specification as I am using survey data) is:
Input would be highly appreciated.
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
Code:
mepoisson y x1 x2 [pw=dweight] || country:, pweight(pweight) irr
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