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Re: st: multiple imputation of complex survey data


From   Trang Nguyen <[email protected]>
To   [email protected]
Subject   Re: st: multiple imputation of complex survey data
Date   Sat, 3 Aug 2013 12:17:47 -0400

Thanks much, Stas, for clarifying this, and for the article you
suggested for proper analysis of imputed survey data.

Regarding the imputation stage, I guess this means I need to figure
out ways to manually build information about the survey's design into
the imputation model. I appreciate any advice about how to do this or
if there are best/recognized approaches that have been documented.

Thanks much!

Trang

On Fri, Aug 2, 2013 at 9:39 PM, Stas Kolenikov <[email protected]> wrote:
> This is only for the analysis stage. For proper analysis of survey
> data with imputations, see Shao & Sitter (1996,
> http://www.citeulike.org/user/ctacmo/article/1269394).
>
> -- Stas Kolenikov, PhD, PStat (ASA, SSC)
> -- Senior Survey Statistician, Abt SRBI
> -- Opinions stated in this email are mine only, and do not reflect the
> position of my employer
> -- http://stas.kolenikov.name
>
>
>
> On Fri, Aug 2, 2013 at 4:02 PM, Trang Nguyen <[email protected]> wrote:
>> Hi!
>>
>> I am using complex survey data and need to do multiple imputation on
>> missing values. In Stata 12 manual, there is the option to declare
>> data as mi data and survey data using
>>
>> mi set mlong
>> mi svyset ...
>>
>> If I do this and then do mi impute, will the imputation incorporate
>> the fact that the data have survey design features (strata, cluster
>> and weights)?
>>
>> Or is the purpose of mi svyset only to allow analysis of multiply
>> imputed data as survey data?
>>
>> Thanks for your help clarifying this. The manual does not make this clear.
>>
>> Best wishes,
>>
>> Trang
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