Re: st: log binomial regression - categorical independent variables

[Evans Jadotte <evans.jadotte@uab.es>]

Amy Jennings wrote:
> Hi 
>  
> I am currently using stata to estimate prevalence ratios (or risk ratios as I think stata refers to them) using log binomial regression with the glm function.  I am using the syntax
>  
> glm dependent independent, family(binomial) link(log) eform
>  
> this has worked fine but I would now like to add a categorical independent variable with more than two categories, and obtain coefficients for each of the categories, e.g. I am trying to calculate prevalence ratios for childhood overweight compared with normal weight for increasing category of parental education, is it possible to estimate prevalence ratios for children whose parents are educated to school-level or university-level verses those with no education?
>  
> Many thanks in advance, 
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Hi,

Maybe what you want is:

xi:glm dependent independent... i.schooling*overweight, family(binomial) link(log) eform

Schooling is assumed to have various categories and stata will keep the first one as reference. You can however control which one is used as a reference group.

Hope this helps,

Evans




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