R help - Mar 2005 - glm - poisson

Hello,

I have a question on glm - poisson. I would like to
fit a model on proportion of counts with some factors,
and I decided to use glm - poisson because count data
is essentially related to poisson. However, since I
need to deal with proportion, and glm - poisson does
not allow non-integer responses, I am thinking of
adding an offset term = log(total). Is it the right
approach to it? or should I use quasi-poisson family,
or should I even use weights?

Thanks for your help!

i think that is ok.
"when a response count n(i) has index equal to t(i),the sample rate is
n(i)/t(i),its expected value is u(i)/t(i)......a loglinear model for theexpeted
rate has form log(u(i)/t(i))=a+bx"(agresti,2002)
this model can use glm-poisson with a offset term to estimate

On Thu, 17 Mar 2005 15:22:02 -0800 (PST)
Oli <olilili at yahoo.com> wrote:
> Hello,
> 
> I have a question on glm - poisson. I would like to
> fit a model on proportion of counts with some factors,
> and I decided to use glm - poisson because count data
> is essentially related to poisson. However, since I
> need to deal with proportion, and glm - poisson does
> not allow non-integer responses, I am thinking of
> adding an offset term = log(total). Is it the right
> approach to it? or should I use quasi-poisson family,
> or should I even use weights?
> 
> Thanks for your help!
> 
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