[R] polr (MASS): score test for proportional odds model
Frank E Harrell Jr
f.harrell at vanderbilt.edu
Wed Feb 25 00:34:00 CET 2009
Michael Friendly wrote:
> For the following model,
>
> library(vcd)
> arth.polr <- polr(Improved ~ Sex + Treatment + Age, data=Arthritis)
> summary(arth.polr)
>
> where Improved is an ordered, 3-level response I'm looking for a
> *simple* way to test
> the validity of the proportional odds assumption, typically done via a
> score test
> for equal slopes/effects over the predictors.
That test is anti-conservative. I like graphical methods using partial
residual plots as in my book. See the following reference. -Frank
@ARTICLE{pet90par,
author = {Peterson, Bercedis and Harrell, Frank E.},
year = 1990,
title = {Partial proportional odds models for ordinal response
variables},
journal = Applied Statistics,
volume = 39,
pages = {205-217}
}
>
> I do find a po.test= option in the repolr package for repeated measures,
> but for my
> (tutorial) purposes this is too complex. Did I miss something simpler?
>
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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