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.rayn...@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@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 Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ R-help@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.