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 <andreas1...@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]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > 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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
