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Re: st: multiple_imputation


From   Victor Mauricio Herrera <vherrera@wisc.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: multiple_imputation
Date   Sun, 12 Jul 2009 12:12:04 -0500

Maarten, 
Thanks a lot, this paper shows that a hierarchical approach is the one I should take in order to correctly deal with missing values in multiple surveys.

Victor.


----- Original Message -----
From: Maarten buis <maartenbuis@yahoo.co.uk>
Date: Saturday, July 11, 2009 4:16 am
Subject: Re: st: multiple_imputation
To: statalist@hsphsun2.harvard.edu


>  --- On Sat, 11/7/09, Victor Mauricio Herrera wrote:
>  > I am working with a pool of surveys and I want to impute
>  > missing values in the pooled dataset while keeping the
>  > design variables and re-calculated weights. Here is my
>  > question: Is it correct to impute missing values - and used
>  > them during the analysis - for variables that were not
>  > originally measured in some of the surveys? For example,
>  > waist circumference was not measured in all the surveys,
>  > however, since that variable must be included in the
>  > imputation model all individuals in the pooled dataset end
>  > up with a value for that variable. 
>  
>  In general I like this approach; this way you can also use 
>  the information available in surveys that only asked some
>  of the questions. In practice getting a good imputation 
>  model can take quite a bit of puzzling. In particular 
>  trying to incorporate characteristics of the surveys can
>  become quite tricky. If you need a reference of someone
>  who has done this before see (Gelman, King, and Liu 1998),
>  though their exact imputation model has not been implemented
>  in Stata.
>  
>  Hope this helps,
>  Maarten
>  
>  Andrew Gelman; Gary King; Chuanhai Liu (1998) Not Asked and 
>  Not Answered: Multiple Imputation for Multiple Surveys. 
>  Journal of the American Statistical Association, 
>  93(443):846-857.
>  http://www.stat.columbia.edu/~gelman/research/published/gelmankingliu.pdf
>  
>  -----------------------------------------
>  Maarten L. Buis
>  Institut fuer Soziologie
>  Universitaet Tuebingen
>  Wilhelmstrasse 36
>  72074 Tuebingen
>  Germany
>  
>  http://home.fsw.vu.nl/m.buis/
>  -----------------------------------------
>  
>  
>  
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