R help - Aug 2014 - Linear relative rate / excess relative risk models

On 07/30/2014 05:00 AM, r-help-request at 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