title: R and svyglm - how to get standard error for an odds ratio?
body: <p>How do we get a standard error for an odds ratio obtained from output produced by the <code>svyglm()</code> function in the R package "survey"?  </p>
  
  <p>The model fitted with svyglm is of the form: </p>
  
  <pre><code>svyglm(Outcome ~ Treatment,design=design.object,family=quasibinomial(link=logit))
  </code></pre>
  
  <p>The odds ratio comparing the two levels of Treatment can be easily obtained by exponentiating the coefficients produced by the <code>summary()</code> command applied to the above model.</p>
  
  <p>Not clear how to produce standard errors associated with this odds ratio?  </p>