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
mo
lso
> considered polite on this mailing list to include the email chain, so
> appending original question:
>
> --
> David
>
> >
> > Best, Daniel
> >
> > ____________
> > Von: David Winsemius [dwinsem...@comcast.net]
> > Gesendet: Mittwoch, 8. Januar 2014 19:
er answer. It's also
> considered polite on this mailing list to include the email chain, so
> appending original question:
>
> --
> David
>
> >
> > Best, Daniel
> >
> >
> > Von: David Winsemius [dwinsem...@c
vid
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 t
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 o
I would fit a Poisson model to the dose-response data with offsets for the
baseline expecteds.
Sent from my iPhone
> On Jan 8, 2014, at 10:49 AM, "Wollschlaeger, Daniel"
> wrote:
>
> My question is how I can fit linear relative rate models (= excess relative
> risk models, ERR) using R. In r
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