Dear all, I have been using the gee package, but I have some questions digging into my mind.
I am wondering that how the gee function deals with an unbalanced longitudinal design, i.e how it distinguishes the time information of the repeated measures. In the gee function options, only the id information of the clusters is needed but the time information does not. Similarly, if the data has missing values the function deletes the corresponding row and then it combines the former and latter rows (time points). I am wondering that how it recognizes the time point of the deleted rows and distinguishes it from the time point of the latter row. Lastly, does the function is convenient for irregular longitudinal designs? Thank you in advance, Best regards, Ozgur ************************************** Ozgur ASAR Research Assistant Middle East Technical University Department of Statistics 06800, Ankara Turkey Ph: 90-312-2105309 -- View this message in context: http://r.789695.n4.nabble.com/about-the-gee-function-tp3900816p3900816.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.
