Re: st: 'xtgee' for logistic regression

["Nora Ghaemi" <nghaemi@hotmail.com>]

sarah and marcus,

it actually does work as you say, setting the fam_var as the id_var for the 
panel data, and the result is not much different if i use the cluster option 
of logistic.

thanks a lot!

nora






> From: "Marcus Fischer" <marcus.fischer@gmx.com>
> Reply-To: statalist@hsphsun2.harvard.edu
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: 'xtgee' for logistic regression
> Date: Mon, 19 Jul 2004 17:57:08 +0200 (MEST)
>
> In my opinion GEE is exactly what you need.
> I would organize the data so that you have an ID-column and a FAMID-column.
> Panel ID variable would be your FAMID.
> Try this one:
> . iis is FAMID
> . xtgee dep_var indep_var, family(binomial 1) link(logit) 
> corr(exchangeable)
>
> Hope this helps.
>
> Marcus
>
>
>
>
> > sarah,
> >
> > no i haven't time-series (panel) data.
> > i have just variables like in a cross-sectional (or case-control) study,
> > with only one measurement for each variable, and i am trying to repeat 
> the
> > kind of logistic analysis (taking clustering into account) that other
> > people
> > apparently performed using a gee model with cross-sectional data.
> >
> > using the cluster option of logistic are gee estimations used at all in
> > the
> > stata ado file?
> >
> > my question is the following: is it possible at all to rearrange
> > cross-sectional data so that gee-glm models can be used? or this is an
> > impossible operation to do? may be duplicating the one-time measurements
> > so
> > to have kind of longitudinal data, or in some other way?
> > in sum, is there any possible (even a bit artificial) way to use gee-glm
> > models for one-time measurements data?
> >
> > thanks for your help.
> >
> > nora
> >
> >
> >
> >
> >
> >
> > >From: "Sarah A. Mustillo" <smustillo@psych.duhs.duke.edu>
> > >Reply-To: statalist@hsphsun2.harvard.edu
> > >To: statalist@hsphsun2.harvard.edu
> > >Subject: Re: st: 'xtgee' for logistic regression
> > >Date: Mon, 19 Jul 2004 11:09:47 -0400
> > >
> > >Nora -
> > >
> > >Do you have time-series data?  Just from what you've said, I'm guessing 
> a
> > >GEE model might not be your best option for what you are trying to do.
> > >
> > >The logistic command does have a cluster option.  So, you could do:
> > >
> > >logistic dep_var indep_var, cluster(famvar)
> > >
> > >If this doesn't help, write back with more details about what you are
> > >trying to model.
> > >
> > >Sarah
> > >
> > >Nora Ghaemi wrote:
> > >
> > >>dear statalisters,
> > >>
> > >>i have to run a logistic regression that has to take into account
> > >>clustering of subjects into families.
> > >>the command 'logistic' works but does not account for clustering, so 
> the
> > >>standard errors are smaller that they should be.
> > >>
> > >>i am trying to use on the same dataset the command xtgee:
> > >>
> > >>xtgee  dep_var indep_var, family(binomial) link(logit) i(id)
> > >>
> > >>
> > >>but invariably i get this response from stata:
> > >>
> > >>estimates diverging (absolute correlation > 1)
> > >>r(430);
> > >>
> > >>
> > >>should I rearrange the data somehow in order to run �xtgee�? it was my
> > >>understanding that xtgee does not need to �tsset�
> > >>
> > >>can anyone help me with this issue?
> > >>
> > >>thanks a lot!
> > >>
> > >>nora
> > >>
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> > >
> > >--
> > >Sarah A. Mustillo, Ph.D
> > >Department of Psychiatry and Behavioral Sciences
> > >Duke University School of Medicine
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