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Re: st: way to control for repeated measures when using svy: commands?


From   "Lima, Julie" <julie_lima@brown.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: way to control for repeated measures when using svy: commands?
Date   Fri, 18 Nov 2011 10:13:28 -0600

Thanks -- I had seen an old stata post where someone had made the
personid the PSU and so used svy procedures to account for the
repeated measures, but they were not also adjusting for a complex
sampling design.  I missed this more recent one you referred me to --
very helpful.




On Thu, Nov 17, 2011 at 10:10 PM, Steven Samuels <sjsamuels@gmail.com> wrote:
> See: http://www.stata.com/statalist/archive/2011-11/msg00572.html
>
> The short answer: for survey data, the only clusters that really matter for computing the standard errors are the PSUs.
>
> Steve
>
> On Nov 16, 2011, at 10:40 PM, Lima, Julie wrote:
>
> Hello,
>
> Does anyone know a way to control for repeated measures while using
> svy procedures (Stata 11, or I could switch to 12 if needed)?
>
> I'm using a multi-wave survey with a complex sampling design, and so
> my analysis requires the use of the svy procedures.  Individuals were
> eligible for our study if they met inclusion criteria at either Wave 1
> or Wave 2.  Of the 2513 people who met the study criteria, 594 met
> them at both Waves 1 and 2, and therefore were included in our sample
> twice, resulting in a sample size of 3107 observations.   When using
> regular logit in Stata, I would control for the repeated measures
> using ', cluster(personid)'  but this is not allowed with the svy
> procedures.  Is there another way?
>
> Thanks for the help,
> Julie Lima
> --
> *************************************
> Julie Lima, MPH, PhD
> Senior Research Analyst
> Brown University
> Center for Gerontology and Health Care Research
> Providence, RI
>
> Mailing Address
> 1316 Old Oak Trail
> Flower Mound, TX 75028
> p: 972-355-7814
>
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>
>
> *
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>



-- 
*************************************
Julie Lima, MPH, PhD
Senior Research Analyst
Brown University
Center for Gerontology and Health Care Research
Providence, RI

Mailing Address
1316 Old Oak Trail
Flower Mound, TX 75028
p: 972-355-7814

*
*   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/


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