Interesting software comparison paper

Hello All,

I just stumbled across this article and I figured this may be of interest to some of you:

Austin, P. C. (2010). Estimating Multilevel Logistic Regression Models When the Number of Clusters is Low: A Comparison of Different Statistical Software Procedures. The International Journal of Biostatistics, 6(1).

http://www.bepress.com/ijb/vol6/iss1/16/

At least, the issue of what to do when the number of clusters is low has come up several times before on this list.

The comparison includes glmmPQL and glmer (although I suspect the version of glmer used was quite old; the author does not mention the version number of the lme4 package used, but does mention using R 2.8.0 -- which is a bit dated). Nice to see that glmer compares very well with other software.

Best,

--
Wolfgang Viechtbauer                        http://www.wvbauer.com/
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