Dear all, for a project I want to calculate cancer incidence rates by decades (0-20,20-30,30-40,..,70-80). I have left truncated data, my Surv object has the form Surv(time=age,time2=age2, event, type="counting").
I tried different ways to get results for n, events, and person-years, but the results are not as expected. The best results are for pyears(Surv(age,age2,event)~cut(age,c(0, 20,30,40,50,60,70,80)) +group, data,scale=1) However, the person-years is too high, since observation time of patients that start before 20 years of age are added completely to the observation decade of 0-20. Person 1: 18 -31 years of age observation time Person 2: 18 - 19 years of age observation time Result gained: n = 2, pyears = 14 for 0-20 years Result expected: n=2, pyears=3 for 0-20 years Furthermore, the documentation says, that the cut function is not advised to use, but tcut does not work with my data. What do I have to do to use the pyears-function for left truncated data? Are there any working examples for that case? Many thanks and best wishes, Silke Zachariae ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.