Dear R help gurus,
I have the following problem and I would be delighted if you could help me. >From a large (1500) cohort of patients we have been taking some measurements (ECG measurements, but its not important). The measurements are ordinal in 4 grades (Grade I-IV, grade IV being the most severe form). Every patients has been measured several times (usually once per year). The follow-ups are different for each patient (ranging from days to several years), thus some patients have only 1 measurement and some have several. A patient can shift from Grade to Grade, that is a patient can be measured now as Grade I and later as Grade II and then at then next measurement he can return to Grade I. My data are in the following format Patient ID, Time of Measurement, Grade I would like to model the probability of being in each of the Grades (I-V) as a function of time. I guess i require a repeated measure cumulative logit mixed model with random slope and intercept (for each patient). Could anyone pin point me at any information that would help me accomplish this in R? Packages? Books? Information about categorical data analysis with R seems to be poor in the Internet. Thank you very much on advance JT -- View this message in context: http://r.789695.n4.nabble.com/Repeated-measures-cummulative-logit-mixed-model-tp3746845p3746845.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.
