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
Mobile Tel.: 215-852-3045
*
* 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/
