> I just realized that the example I used in my previous posting today is > incorrect because it is a binary response, not a multilevel response > (small, medium, large) such as my real life problem has. I apologize > for the confusion. The example is incorrect, but the multinomial > problem is real.
Your data looks like it might be better considered as ordinal. Whitehead and Whitehead discuss one proprtional odds random effects approach (for a single binary covariate) in Statist Med 1991; 10:1665-1677, which is easy to implement. The BUGS manual has an example of random effects metaanalysis that you could expand. You could even partition out the studies using the party package (I believe it does an ordinal logistic). David Duffy. -- | David Duffy (MBBS PhD) ,-_|\ | email: [EMAIL PROTECTED] ph: INT+61+7+3362-0217 fax: -0101 / * | Epidemiology Unit, Queensland Institute of Medical Research \_,-._/ | 300 Herston Rd, Brisbane, Queensland 4029, Australia GPG 4D0B994A v ______________________________________________ R-help@stat.math.ethz.ch 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.
