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RE: st: model for longitudinal ordinal data


From   "Jason Dean, Mr" <[email protected]>
To   "[email protected]" <[email protected]>
Subject   RE: st: model for longitudinal ordinal data
Date   Fri, 10 Apr 2009 17:01:59 -0400

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: [email protected] [[email protected]] On Behalf Of Shubhabrata Mukherjee [[email protected]]
Sent: Friday, April 10, 2009 4:57 PM
To: [email protected]
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 <[email protected]>
To: [email protected]
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
<[email protected]> wrote:
> Is there any model in STATA which fits longitudinal ordinal data?
>
>  Thanks,
>
>      Joey
>
>
>
>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>



--
James W. Shaw, Ph.D., Pharm.D., M.P.H.
Assistant Professor
Department of Pharmacy Administration
College of Pharmacy
University of Illinois at Chicago
833 South Wood Street, M/C 871, Room 252
Chicago, IL 60612
Tel.: 312-355-5666
Fax: 312-996-0868
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