[R] Multiple Imputation / Non Parametric Models / Combining Results

[Michael Dewey]

At 08:12 08/12/2006, Simon P. Kempf wrote:
>Dear R-Users,
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>The following question is more of general nature than a merely technical
>one.  Nevertheless I hope someone get me some answers.
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I am in no sense an expert in this area but since 
it seems that noone else has answered so far; I 
wonder whether the mitools package from CRAN helps?


>I have been using the mice package to perform the multiple imputations. So
>far, everything works fine with the standard regressions analysis.
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>However, I am wondering, if it is theoretically correct to perform
>nonparametric models (GAM, spline smoothing etc.) with multiple imputed
>datasets. If yes, how can I combine the results in order to show the
>uncertainty?
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>In the research field of real estate economics, the problem of missing data
>is often ignored respectively unmentioned. However, GAM, spline smoothing
>etc. become increasingly popular. In my research, I would like to use
>multiple imputed datasets and GAM, but I am unsure how present single
>results.
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>Again I want to apologize that this is a rather theoretical statistical
>question than a technical question on R.
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>Thanks in advance for any hints and advices.
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>Simon
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>Simon P. Kempf
>
>Dipl.-Kfm. MScRE Immobilienökonom (ebs)
>
>Wissenschaftlicher Assistent
>
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>
>Büro:
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>IREBS Immobilienakademie
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>Email:  <mailto:simon.kempf at web.de> simon.kempf at web.de
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>         [[alternative HTML version deleted]]

Michael Dewey
http://www.aghmed.fsnet.co.uk