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RE: st: RE: Descriptives using multiple-imputed complex survey design data


From   "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: RE: Descriptives using multiple-imputed complex survey design data
Date   Wed, 24 Feb 2010 08:09:15 -0800

He might decide to reply to the list or you might email him directly.  I prefer that he answer the list since this has been a public discussion.

Tony

Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Rosie Chen
Sent: Tuesday, February 23, 2010 8:17 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: RE: Descriptives using multiple-imputed complex survey design data

Thanks, Tony. How can I get further insight from Patrick?
Also thanks for Stas' suggestion. 

To the listserv, my question is: is it a common practice to do descriptive analysis (mean, proportion, cross-tabs) using all design features, including weight, strata, and cluster variables?  I had assumed that it is....But then dopeople use the descriptive statistics to make inference to the population? Any info and advice would be appreciated. Thanks,

Rosie



----- Original Message ----
From: "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To: "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Sent: Tue, February 23, 2010 3:28:07 PM
Subject: RE: st: RE: Descriptives using multiple-imputed complex survey design  data

I believe the _mi is to identify the individual subjects - so you need to specify it also.  Patrick Royston may be able to give further insight.

Tony

Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Rosie Chen
Sent: Tuesday, February 23, 2010 11:39 AM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: RE: Descriptives using multiple-imputed complex survey design data

Tony, thanks a lot for the timely help! Now I have renamed the dataset indeitifier variable according to your advice. Since I am using Stata 9.2 and therefore don't have a pdf manual, may I ask for further clarification:

After I run 
mim: svy: mean smoke
Another error message appeared:
observation identifier variable _mi is either missing or not numeric

Is there an easy way to create such an observation identifier variable? If it is too complicated, I will just give up the idea of using Stata but use SAS for such an analysis. Thanks for your suggestion in advance!

Rosie



----- Original Message ----
From: "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To: "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Sent: Tue, February 23, 2010 12:25:44 PM
Subject: RE: st: RE: Descriptives using multiple-imputed complex survey design  data

mim wants an identifier of the imputed data set.  If SAS produces such an indicator, simply rename it _mj or generate _mj=SASindicator.  Otherwise, you will need to create it/

Tony

Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Rosie Chen
Sent: Monday, February 22, 2010 10:06 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: RE: Descriptives using multiple-imputed complex survey design data

Hello, does anyone know what this error message really means?: "imputation
identifier variable _mj is either missing or not numeric".   I have 5 datasets that have been imputed in SAS, and now would like to use them for descriptive analysis in Stata. Below is what I've done. What am I doing wrong? Thank you very much in advance!  


mimstack, m(5) sortorder(id)
istub("data") nomj0

compress

inc1 was float now
byte
inc2 was float now
byte
inc3 was float now
byte
inc4 was float now
byte

svyset
[pweight=aweight]
  pweight: aweight
          VCE: linearized
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

mim: svy: mean smoke
error message: imputation
identifier variable _mj is either missing or not numeric


----- Original Message ----
From: Rosie Chen <jiarongchen2002@yahoo.com>
To: statalist@hsphsun2.harvard.edu
Sent: Tue, February 23, 2010 12:19:01 AM
Subject: Re: st: RE: Descriptives using multiple-imputed complex survey design  data

Thanks a lot for the helpful information, Tony and Steve! Will read the instruction and have a try soon. 

Rosie




----- Original Message ----
From: "sjsamuels@gmail.com" <sjsamuels@gmail.com>
To: statalist@hsphsun2.harvard.edu
Sent: Mon, February 22, 2010 7:24:39 PM
Subject: Re: st: RE: Descriptives using multiple-imputed complex survey design  data

To Tony's response I would only add: read the help for Stata's survey
commands ("help survey" will start you out. Since you have Stata 9.2,
pdf's of the manual pages are not available, but the -help- system is
also quite good.  The major difference between running survey commands
in SAS and Stata is that in SAS, one specifies the survey design
variables as statements in statements for each procedure; in Stata,
one uses the -svyset- command prior to running other survey commands.
I haven't run -mim-, but since it is a prefix command, your commands
will have a double-prefix structure:

mim , [mim options]:  svy:



Steve



On Mon, Feb 22, 2010 at 2:09 PM, Lachenbruch, Peter
<Peter.Lachenbruch@oregonstate.edu> wrote:
> a) read the volume on multiple imputation (pdf or manual)
> b) consider using mim (see help file, or findit mim)
> c) is 5 sufficient number of imputations?  I have found 20 usually to be a bit safer.
>
> Tony
>
> Peter A. Lachenbruch
> Department of Public Health
> Oregon State University
> Corvallis, OR 97330
> Phone: 541-737-3832
> FAX: 541-737-4001
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Rosie Chen
> Sent: Monday, February 22, 2010 1:28 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: Descriptives using multiple-imputed complex survey design data
>
> Dear all,
>
>   I am not sure if my question is too simple or unclear, but I haven't received responses from the list. Could anyone give me some hint? I have done such an analysis before in SAS, but would like to learn how to do it in Stata. Thank you very much. Below is my question:
>
>    I wonder if someone can advise on the syntax I
> should use for descriptive analysis (e.g., mean, cross-tab) for
> multiple-imputed complex survey design data. Basically, 5 datasets have
> been created through multiple imputation in IVeWare in SAS. How to
> incorporate complex survey design features and the 5 imputed datasets
> in descriptive analysis in Stata? By the way, my Stata version is 9.2.
> Any sample syntax for mean and cross-tabs would be appreciated very
> much. Thanks,
>
>    Rosie
>
>
>
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-- 
Steven Samuels
sjsamuels@gmail.com
18 Cantine's Island
Saugerties NY 12477
USA
845-246-0774

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