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Re: st: model for longitudinal ordinal data


From   Shubhabrata Mukherjee <joy_stat@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: model for longitudinal ordinal data
Date   Mon, 13 Apr 2009 11:14:44 -0700 (PDT)

Thanks everyone. Just one thought though. Say, I have a data set with 10 (say) time points and I want to specify a specail type of covariance structure (ar4 or something). Then how well will -ologit- with vce(cluster id) work?

 Thanks,

     Joey



----- Original Message ----
From: "Jason Dean, Mr" <jason.dean@mail.mcgill.ca>
To: "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Sent: Friday, April 10, 2009 2:01:59 PM
Subject: RE: st: model for longitudinal ordinal data

I am using ordinal panel data data and I just use ologit and the cluster command to account for the correlation of individuals over time. There is also the gologit2 - which allows you to do a generalized ordered logit.

Jason



________________________________________
From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Shubhabrata Mukherjee [joy_stat@yahoo.com]
Sent: Friday, April 10, 2009 4:57 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: model for longitudinal ordinal data

Thanks a lot James.

I researched -gllamm- but I was not sure if one can specify the type of covariance sturucture in it. I have three time points only and wanted to specify cov(uns).

The -ologit- with the vce(cluster id) should work.

Joey



----- Original Message ----
From: James Shaw <shawjw@gmail.com>
To: statalist@hsphsun2.harvard.edu
Sent: Friday, April 10, 2009 12:08:19 PM
Subject: Re: st: model for longitudinal ordinal data

There are three programs that can be used to fit random effects
ordinal probit models in Stata:

-reoprob-
-regoprob-
-gllamm-

-regoprob- is capable of fitting generalized random effects ordinal
probit models that do not entail the proportional odds assumption.
-gllamm- can also fit random effects (and random coefficients) ordinal
logit models.

Finally, you may consider simply fitting an ordinal logit or probit
model to your data with a cluster-robust variance estimator using
-ologit- or -oprobit-, respectively.  In each case, you would need to
use the "cluster(subject id)" option.

Hope that this information is helpful.

Regards,

Jim



On Fri, Apr 10, 2009 at 1:56 PM, Shubhabrata Mukherjee
<joy_stat@yahoo.com> wrote:
> Is there any model in STATA which fits longitudinal ordinal data?
>
>  Thanks,
>
>      Joey
>
>
>
>
> *
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>



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