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

[Rosie Chen <jiarongchen2002@yahoo.com>]

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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*   http://www.ats.ucla.edu/stat/stata/