You can analyse multiple imputations with the survey and mitools package,
and there is a toy example including ordinal logistic regression at
http://faculty.washington.edu/tlumley/survey/svymi.html
If am I reading their documentation correctly, 'mice' creates what Rubin
calls 'proper imputa
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 <[EMAIL PROTECTED]> wrote:
> Hello:
> I am working with a stratified survey dataset with sampling weights
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
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