You can just do:
summary(z.out)
which will give you combined standard errors. Then you can do the usual point estimates
plus minus 1.96*standard error to get confidence intervals.
Best,
Kosuke
Department of Politics
Princeton University
http://imai.princeton.edu
On Aug 16, 2011, at 7:08 PM, Lloyd Balbuena wrote:
Dear all,
I ran a poisson model on 5 multiply imputed datasets produced by amelia:
z.out <- zelig(months ~ netsize, model="poisson", data=a.out$imputations)
I can get the 95% CI of each imputation's coefficients using
confint(z.out[[n]]$coefficients), where n is the imputed dataset index. What I want
however is the 95% CI of the combined results.
Sorry, I couldn't find an answer in the documentation.
Lloyd
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