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From | Austin Nichols <austinnichols@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st:Command for clustering without sampling |
Date | Tue, 31 Aug 2010 12:17:47 -0400 |
Nanlesta Pilgrim <nanlesta@gmail.com>: In general, (3) is a good approach, since clustering will get you better (more accurate) SEs if you have a reasonable number of clinics (you obviously should not cluster by state with only 3 states). You should only "control" for state and clinic (i.e. include fixed effects) in a logit if you have very large numbers of obs per clinic. You might also check out http://www.stata.com/help.cgi?xtmelogit and read http://www.stata.com/statalist/archive/2007-10/msg00926.html http://www.stata.com/statalist/archive/2007-10/msg00935.html http://www.stata.com/statalist/archive/2007-10/msg01008.html etc. for background. On Tue, Aug 31, 2010 at 10:56 AM, Nanlesta Pilgrim <nanlesta@gmail.com> wrote: > Hello All! > > I am trying to figure out which stata command I should use given the > dataset. Basically, we collected information in clinics across three > states. It was not the manner in which we would have preferred but we > did not sample clinics nor state due to the nature of the study. In a > sense, there really was no "cluster sampling," however, participants > attending the same clinics will have similar experiences than those > attending other clinics. Participants were also not sampled given the > type of participant we were trying to recruit. Our main interest is > how experiences at baseline clinic visit influence behavior at > follow-up. In running the analyses, I'm debating over what command > to use to control for "clustering," given participants were > interviewed within clinics within states. I've contemplated (1)gee, > (2)svy, (3)logit with clustering option, and (4)logit controlling for > state and clinic. Any guidance would be very helpful! > > Thanks, > Nandy * * 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/