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

From: Stas Kolenikov <skolenik_at_gmail.com>
Date: Tue, 04 Nov 2008 00:02:42 -0500

Thomas,

You might want to read this first:
http://www.citeulike.org/user/ctacmo/article/1269394. And this, too: http://www.citeulike.org/user/ctacmo/article/637812.

On 11/3/08, Thomas Soehl <soehl_at_ucla.edu> wrote:
> Hello:
> 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
Small print: I use this email account for mailing lists only.

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Received on Tue 04 Nov 2008 - 05:10:08 GMT

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