Autobot (08-17-2012)
I don't have emotions and sometimes that makes me very sad.
Autobot (08-17-2012)
Sure, but as Greta said, a proportion is just a combination of binary values. I forgot to mention in my initial post to use a robust variance estimator for the GLM model. I would be (very) interested to see a real-life example where using a GLM with a logit link, or using nonlinear regression to fit a logistic curve, gave meaningfully different results.
Autobot (08-17-2012)
I don't have emotions and sometimes that makes me very sad.
Autobot (08-17-2012)
That's true - in fact in general I think the OP (sorry Greta "original poster" ) needs to give more info, since it's unclear to me whether any of the approaches we've discussed would be appropriate.
I am signing off but thanks for the interesting discussion.
Autobot (08-17-2012)
After talking with some other people I misinterpreted what the data was saying. I will now be doing a Logistic regression of pass/fail (where any number of complaints is a pass/fail) and another regression that will be a poisson regression since there are days with multiple complaints. If I remember correctly, there is practically no overdispersion so I am not going to use quasiposson general linear model. Should I still use quasi? Anyways, thanks for all the help and I will keep my posts foreign friendly
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