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Re: st: longitudinal ordinal regression


From   Stas Kolenikov <skolenik@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: longitudinal ordinal regression
Date   Wed, 3 Jun 2009 13:42:33 -0500

What you can do in GLLAMM is an exchangeable correlation by specifying
random effects at the cluster level. GLLAMM is a full likelihood
routine rather than a GEE-type one, you need to model everything
explicitly. The identity correlation structure would probably come out
of -ologit, cluster()-.

On Tue, Jun 2, 2009 at 4:30 PM, Shubhabrata Mukherjee
<joy_stat@yahoo.com> wrote:
> Hi,
>
>     I-emailed statalist about a month back regarding longitudinal ordinal regression in STATA (as I couldn't find anything such as `xtologit').
>
>      A few people recommended that I should use GLLAMM or ologit (with `cluster id' option). But there is no option to specify the type of covariance structure (unstructured, ar1 etc.) on either of them if I am not wrong. I think the cluster(id) option for ologit (or i(id) for GLLAMM) are just nesting the observations by their respective ids.
>
>     I was wondering if anyone can point out some other models which could take care of this problem (specifying covariance structure in a longitudinal OLR)?
>
>      Thanks,
>
>         Joey
>
>
>
>
>
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-- 
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.

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