Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Rosie Chen <jiarongchen2002@yahoo.com> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Tue, 23 Feb 2010 20:17:12 -0800 (PST) |

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 > > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > -- Steven Samuels sjsamuels@gmail.com 18 Cantine's Island Saugerties NY 12477 USA 845-246-0774 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: RE: Descriptives using multiple-imputed complex survey design data***From:*sjsamuels@gmail.com

**RE: st: RE: Descriptives using multiple-imputed complex survey design data***From:*"Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>

**References**:**Re: st: RE: Descriptives using multiple-imputed complex survey design data***From:*Rosie Chen <jiarongchen2002@yahoo.com>

**RE: st: RE: Descriptives using multiple-imputed complex survey design data***From:*"Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>

- Prev by Date:
**Re: st: RE: regression r(103): too many variables** - Next by Date:
**Re: st: RE: regression r(103): too many variables** - Previous by thread:
**RE: st: RE: Descriptives using multiple-imputed complex survey design data** - Next by thread:
**RE: st: RE: Descriptives using multiple-imputed complex survey design data** - Index(es):