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Re: st: Re: Multiple Imputation (MI)


From   Ricardo Ovaldia <ovaldia@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Re: Multiple Imputation (MI)
Date   Fri, 13 Jan 2012 09:35:30 -0800 (PST)

There are many types of data that can be called secondary data, depending on the discipline. For example, secondary data may simply be summary data, such as means, SD, medians, ect. Is that what you have?

Please describe your secondary data so that we can answer your question regarding MI.


Ricardo Ovaldia, MS
Statistician 
Oklahoma City, OK


--- On Fri, 1/13/12, john ebireri <jebireri@yahoo.com> wrote:

> From: john ebireri <jebireri@yahoo.com>
> Subject: st: Re: Multiple Imputation (MI)
> To: "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
> Date: Friday, January 13, 2012, 11:28 AM
> Dear Statalist Users,
> 
> I'm sorry about the initial mix-up.
> 
> I know what secondary data is.
> 
> I'm actually asking if Multiple Imputation is suitable for
> handling missing observations in secondary data?
> 
> John.
> 
> 
> 
> 
> 
> 
> 
> ----- Original Message -----
> From: john ebireri <jebireri@yahoo.com>
> To: "statalist@hsphsun2.harvard.edu"
> <statalist@hsphsun2.harvard.edu>
> Cc: 
> Sent: Friday, January 13, 2012 4:28 PM
> Subject: Multiple Imputation (MI)
> 
> Dear Statalist Users,
> 
> I just want to ask if MI is suitable only for primary data
> 
> I have read a few papers on MI and they keep talking about
> it used for missings in survey data.
> 
> Is it suitable for this method (MI) to be used in handling
> missing data in secondary data?
> 
> Thanks.
> 
> 
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