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st: RE: RE: Using command svy glm to obtain risk ratios
From
"Hussein, Mustafa (Mustafa Hussien)" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: RE: RE: Using command svy glm to obtain risk ratios
Date
Mon, 17 Feb 2014 23:30:13 +0000
You are welcome!
No, you should estimate your models with the -svy- prefix if you have complex survey data. Your code should look like:
svy: glm depvar indepvar, fam(poisson) link(log) eform
Using the -svy- prefix is equivalent to cluster robust estimation with pweights. So, in essence, the "robust" part of modified Poisson is taken care of when using the -svy- prefix.
For more info on estimating model-based RRs using log-binomial, Poisson, and Cox models, see:
Barros & Hirakata (2003). BMC Med Res Methodol 3(21). PMID: 14567763
Zou (2004). Am J Epidemiol 159:702–706. PMID:15033648
Hope that helps
Mustafa
________________________________________
From: [email protected] [[email protected]] on behalf of Agunwamba, Amenah A., Ph.D. [[email protected]]
Sent: Monday, February 17, 2014 4:17 PM
To: [email protected]
Subject: st: RE: Using command svy glm to obtain risk ratios
Thanks Mustafa,
So if I just eliminated the "svy" command, I can still get weighted RRs?
An example code might be:
glm outcome predictor, fam(poisson) link(log) no log vce(robust)
Thanks!
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