Hello. I am attempting to duplicate a negative binomial regression in R. SAS uses generalized estimating equations for model fitting in the GENMOD procedure.
proc genmod data=mydata (where=(gender='F')); by agegroup; class id gender type; model count = var1 var2 var3 /dist=NB link=log offset=lregtm; repeated subject=id /type=exch; run; Since my dataset has several observations for each subject, I need the REPEATED statement in order to indicate dependence among observations with the same subject ID and independence amongst those with distinct subject IDs. The TYPE statement goes on to specify the structure of the correlation matrix to be used (exchangeable in this case). I've been experimenting with a few of the packages capable of producing a glm for a binomial distribution, but have yet to find one that will allow me to recreate the SAS analysis. What I would ultimately like to have are the coefficients (and p-values) associated with each of the variables in my model. Any help or guidance on this would be appreciated. Thank you! J. -- View this message in context: http://www.nabble.com/Negative-Binomial-Regression-tp18696667p18696667.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
