On 07/30/2014 05:00 AM, r-help-requ...@r-project.org wrote:
A while ago, I inquired about fitting excess relative risk models in R. This is a follow-up about what I ended up doing in case the question pops up again. While I was not successful in using standard tools, switching to Bayesian modeling using rstan (mc-stan.org/rstan.html) worked better. The results closely match those from Epicure. Using the data here:http://dwoll.de/err/dat.txt The stan model fit below replicates the results from Epicure here:http://dwoll.de/err/epicure.log Of course I am still interested in learning about other options or approaches. Daniel
A good paper on issues and solutions is Lumley, Kronmal and Ma, 2006, Relative Risk Regression in Medical Research: Models, Contrasts, Estimators, and Algorithms ______________________________________________ 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.
