[R] ordered logistic regression of survey data with missing variables

From: Thomas Soehl <soehl_at_ucla.edu>
Date: Mon, 03 Nov 2008 20:27:03 -0800

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

  1. 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.
  2. 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

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