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So there are three nesting levels? Within counties, there are diseases
afflicting individuals? If that is the case, you should amend your command
as
- bysort County disease (individual): keep if _n==1-
to make it stable for the -glm- analysis. "individual" should be replaced by
some identifier variable, like an id number.
Also look at -egen, tag()- as -drop-ping is not generally the best approach
to conducting a restricted analysis ("How are you going to get the dropped
obs back when you need them quickly?").
Also look at -xtmixed- and its brothers, as your analysis sounds like a good
case for them...
HTH
Martin
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Johannes Schoder
Sent: Dienstag, 15. September 2009 20:17
To: [email protected]
Subject: Re: st: Different Results for the same estimation
I found the bug:
Since I am using the following command before the estimation:
bysort County disease: keep if _n==1
Stata probably kicks out different obervations eacht time.
Does someone knows how to avoid that? A similar question was posed a
couple of days ago:
How to delete duplicate observations, Martin recommended the following
command that I used (see above):
bysort ID: keep if_n==1
However my problem is not exactly the same:
Since I would like to aggregate my individual level data to the county
level I would like to just keep one observation for each county [instead
of keeping one observation per county I would like to keep 98
observations per county (one observation per county and per cancer type;
there are 98 different cancer types)].
Therefore the observations I would like to drop are not the same
individuals, they just live in the same county and suffer from the same
disease.
Thanks for your help!!
Johannes
Johannes Schoder schrieb:
> Dear Statalist users:
>
> When I am estimating the same model several times afterwards (with the
> same computer):
> xi: glm [dep. var.] [indep. var.] i.county i.year, family (binomial
> weight) link(logit)
>
> I get different results for the exactly same specification.
> Does anyone know whats going on here? Is it because of the different
> number of iterations (sometimes 8,9 or 10)?
> Which results are right? What can I do to get the identical result for
> the same estimation?
> Thanks a lot for any suggestion!
> Johannes
>
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