R help - Jun 2011 - Testing the proportional odds assumption of an ordinal generalized estimating equations (GEE) regression model

Dear list members,
 
I am estimating an ordinal generalized estimating equations (GEE) regression
model on repeated measurements data.
 
Is there any way (preferably in R) to test the proportional odds assumption of
this model?
 
Thanks in advance.
 
Andreas
 
 
 		 	   		  
	[[alternative HTML version deleted]]

If you are willing to leave the GEE world and use a mixed effects
version of the proportional odds model, then you can test the
proportional odds assumption with the clmm function in package
ordinal. You simply include those variables for which you want to test
the assumption in the nominal formula in clmm. See the manual entry
for clmm for more info.

Best,
Rune

On 28 June 2011 20:48, Andreas Karlsson <andreas1973 at hotmail.com>
wrote:
>
> Dear list members,
>
> I am estimating an ordinal generalized estimating equations (GEE)
regression model on repeated measurements data.
>
> Is there any way (preferably in R) to test the proportional odds assumption
of this model?
>
> Thanks in advance.
>
> Andreas
>
>
>
> ? ? ? ?[[alternative HTML version deleted]]
>
> ______________________________________________
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> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>


-- 
Rune Haubo Bojesen Christensen

Ph.D. Student, M.Sc. Eng.
Phone: (+45) 45 25 33 63
Mobile: (+45) 30 26 45 54

DTU Informatics, Section for Statistics
Technical University of Denmark, Build. 305, Room 122,
DK-2800 Kgs. Lyngby, Denmark