[R] Survey imputation

2013-06-13 Thread Scott Raynaud
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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Re: [R] Survey imputation

2013-06-13 Thread Bert Gunter
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.rayn...@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?

 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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and provide commented, minimal, self-contained, reproducible code.


Re: [R] Survey imputation

2013-06-13 Thread Ye Lin
look up imputation on survey data might be helpful


On Thu, Jun 13, 2013 at 10:45 AM, Bert Gunter gunter.ber...@gene.comwrote:

 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.rayn...@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?
 
  __
  R-help@r-project.org mailing list
  https://stat.ethz.ch/mailman/listinfo/r-help
  PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained, reproducible code.



 --

 Bert Gunter
 Genentech Nonclinical Biostatistics

 Internal Contact Info:
 Phone: 467-7374
 Website:

 http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


[[alternative HTML version deleted]]

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Re: [R] Survey imputation

2013-06-13 Thread Scott Raynaud
I paln on using R to do the imputation once I figure out how to do it.

 
- Original Message -
From: Bert Gunter gunter.ber...@gene.com
To: Scott Raynaud scott.rayn...@yahoo.com
Cc: r-help@r-project.org r-help@r-project.org
Sent: Thursday, June 13, 2013 12:45 PM
Subject: Re: [R] Survey imputation

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.rayn...@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?

 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm


__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] Survey imputation

2013-06-13 Thread David Winsemius
See Lumley's text Complex Surveys, chapter 9: Missing Data. In addition to 
the survey package he also uses teh RSQLite and mitols packages in his worked 
examples. He doesn't use the NHIS data for the missing data chapter, but he 
does provide examples using NHIS for other tasks.

-- 
David.


On Jun 13, 2013, at 10:51 AM, Scott Raynaud wrote:

 I paln on using R to do the imputation once I figure out how to do it.
 
  
 - Original Message -
 From: Bert Gunter gunter.ber...@gene.com
 To: Scott Raynaud scott.rayn...@yahoo.com
 Cc: r-help@r-project.org r-help@r-project.org
 Sent: Thursday, June 13, 2013 12:45 PM
 Subject: Re: [R] Survey imputation
 
 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.rayn...@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?
 


David Winsemius
Alameda, CA, USA

__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.