Message-ID: <CACk-te1WMDFrCfLF4ZQ1g4zR51BjTRFj13UF+A_irAPCPLb6zA@mail.gmail.com>
Date: 2013-06-13T17:45:37Z
From: Bert Gunter
Subject: Survey imputation
In-Reply-To: <1371145047.34864.YahooMailNeo@web142704.mail.bf1.yahoo.com>
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?
>
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> and provide commented, minimal, self-contained, reproducible code.
--
Bert Gunter
Genentech Nonclinical Biostatistics
Internal Contact Info:
Phone: 467-7374
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