I can't give out the data (confidentiality) but I'll put up the model when I get the chance. The model's nothing special, just two random effects and some fixed effects predictors. The example in the manual is probably better
The main thing is the fact that what is known to be a computationally tricky model works well enough without "fine tuning" to ponder turning its routine estimation over to non-methodologists.
-----Original Message-----
From: "George Hoffman" <[email protected]>
To: [email protected]
Sent: 12/24/2008 5:37 PM
Subject: Re: st: you go -xtmelogit-
Jay - it would be interesting to me (and maybe to others?) to see the model
command you used. I'm sure most on this list have great experiences with
stata - thanks for taking the time to write it donw.
GH
> From: "Verkuilen, Jay" <[email protected]>
> Reply-To: <[email protected]>
> Date: Mon, 22 Dec 2008 16:17:04 -0500
> To: <[email protected]>
> Subject: st: you go -xtmelogit-
>
> I just figured StataCorp would appreciate this:
>
> I ran a crossed random effect binary model today on some data I got this
> afternoon, which has 72 observations per subject, 120 subjects, 3
> conditions for the study variable that's random.
>
> It ran on the first try, in under 15 minutes.
>
> Now obviously this involves having "good" data with pretty big effects,
> but as anyone who ran these kinds of models even a few years ago can
> attest, estimating a crossed random effect is no easy task, but
> -xtmelogit- did everything with no sweat, no messy model specification,
> etc.
>
> Thanks, and Merry Xmas a few days early (or is it Happy Hanukah on
> time).
>
> JV
>
>
>
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