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2005 Apr 27
0
Fitting a kind of Proportional Odds Modell using nlme, polr, lrm or ordgee
...t;contr.SAS","contr.poly")) counts <- c(2,22,54,29,3,4,23,45,22,2,1,22,35,11,3,14,119,180,54,6,7,16,17, 10,3,13,20,24,10,1,8,24,73,52,13,21,106,175,62,17,2,13,18,7,1,3,14,19,3,0) category <- c(rep(1:5,10)) treatment <- (rep(c(0,0,0,0,0,1,1,1,1,1,),5)) study <- gl(5,10) percoftotal <- counts/sum(counts) cout <- data.frame(study,treatment,category,counts,percoftotal) The data are from five controlled clinical trials (study). The patients were given placebo (treatment=0) or treatment (treatment=1) and had a response in one of five categories. Now I want to fit...