R help - Jun 2013 - Survey imputation

I'm working with NHIS survye data.? I'd like the to use muliple
imputation
to cover the missing data for the variables in which I'm interested.? My 
question concerns the use of certain variables in the imputation model.? 
For example, race would be an important predictor in the imputation 
model, but it has been imputed (hot deck) as have other variables that 
might be useful in the imputation model.? What is the wisdom of using 
data that have been imputed in subsequent imputations models?

Is this an R question?

Seems like it belongs on a statistical or survey list, not r-help.

Cheers,
Bert

On Thu, Jun 13, 2013 at 10:37 AM, Scott Raynaud <scott.raynaud at
yahoo.com> wrote:
> I'm working with NHIS survye data.  I'd like the to use muliple
imputation
> to cover the missing data for the variables in which I'm interested. 
My
> question concerns the use of certain variables in the imputation model.
> For example, race would be an important predictor in the imputation
> model, but it has been imputed (hot deck) as have other variables that
> might be useful in the imputation model.  What is the wisdom of using
> data that have been imputed in subsequent imputations models?
>
> ______________________________________________
> 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.


-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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