[R] ordered logistic regression of survey data with missing variables
skolenik at gmail.com
Tue Nov 4 06:02:42 CET 2008
You might want to read this first:
http://www.citeulike.org/user/ctacmo/article/1269394. And this, too:
On 11/3/08, Thomas Soehl <soehl at ucla.edu> wrote:
> 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?
Stas Kolenikov, also found at http://stas.kolenikov.name
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