From: Thomas Soehl <soehl_at_ucla.edu>

Date: Mon, 03 Nov 2008 20:27:03 -0800

Date: Mon, 03 Nov 2008 20:27:03 -0800

Hello:

I am working with a stratified survey dataset with sampling weights
and I want to use multiple imputation to help with missingness.

- Is there a way to run an ordered logistic regression using both a multiply imputed dataset (i.e. from mice) and adjust for the survey characteristics using the weight variable? The Zelig package is able to do binary logistic regressions for survey data and handle the missing data (logit.survey) but I could not find a way to do both for an ordered logistic model.
- I assume I should use the weights in the process of creating the multiply imputed datasets as well. Is there a way to do so in any of the multiple imputation packages in R?

Thanks so much

Thomas Soehl

--- Department of Sociology - UCLA Los Angeles, CA 90095 soehl_at_ucla.edu [[alternative HTML version deleted]] ______________________________________________ R-help_at_r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.Received on Tue 04 Nov 2008 - 04:36:11 GMT

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