If I understand you correctly, that is exactly the approach taken by Atkinson & Therneau: They get the baseline rates from published rate tables from the general population, multiply them by the appropriate person-time from their data to get expected counts, and use this as offset.
Unfortunately, I won't have comparable baseline rate tables. And while I could fit a separate model only to the unexposed group for expected counts, I'd prefer to fit both factors (lambda0 and 1+ERR) simultaneously - as it is typically done in the existing literature. Best, Daniel ________________________________________ Von: David Winsemius [dwinsem...@comcast.net] Gesendet: Mittwoch, 8. Januar 2014 19:06 An: Wollschlaeger, Daniel Cc: r-help@r-project.org Betreff: Re: [R] Linear relative rate / excess relative risk models I would fit a Poisson model to the dose-response data with offsets for the baseline expecteds. ______________________________________________ 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.
