Congratulations! Excellent Video. It would help a lot if you provided the code for the variance vs mean plot and the corresponding lines predicted by the quasi-Poisson and negative binomial model. Thanks
Quick question: Can I use multivariate zero truncated Poisson regression to compare the effects of two IVs on a DV? I'm mostly wondering if the size of the coefficients lose their meaning because of the zero truncation
When you talk about y being Poisson distributed, do you mean ‘the errors on y’? I have data where y is a combination of things only some of which carry counting-statistics uncertainties.
Excellent video. Thank you ! Quick ques: When you say that the mean must equal the variance, do you mean that the mean of all the Y values of the observed data points must equal the variance of all the observed Y values of the dots of the scatter plot? thanks !
Yeap, the first thing you do is check the data for dispersion. If it's fine, go with Poisson. Otherwise, you are looking at quasi-Poisson or Negative Binomial.
This clip alone gave me more information than I ever imagined. Thanks.
Best video on the internet on this topic in my opinion. Covers the why, the what, the when and the how.. perfect! Liked and subbed. Thanks!
I agree, really really good educational video, much appreciated
can you provide the code for the mean vs varaince plot for quasi poisson and negative binomial glm....that will be very helpful
Hi ! Thank you for explaining theses models. Is it possible to provide the R code you 've been using to compute the
graphics ?
OMG, thank you so much for this very informative video, it really helped me a lot!
Congratulations! Excellent Video. It would help a lot if you provided the code for the variance vs mean plot and the corresponding lines predicted by the quasi-Poisson and negative binomial model. Thanks
Thank you very much! This helped me quite a lot!!
Thank you so much! Excellent explanation!
Quick question: Can I use multivariate zero truncated Poisson regression to compare the effects of two IVs on a DV? I'm mostly wondering if the size of the coefficients lose their meaning because of the zero truncation
Amazing video! Excellent explanation and very useful!
Very excellent video! Thanks!
What would I use to do a negative binomial regression in SAS?
Nice ! Thanks for the timestamps !
When you talk about y being Poisson distributed, do you mean ‘the errors on y’? I have data where y is a combination of things only some of which carry counting-statistics uncertainties.
Thank you so much for posting this video!
Do fish counts from a bay over time disqualify this kind of data for a Poisson distribution because it's a time series dataset?
Great ! Please keep posting more such videos
Great explanations
this is an awesome video
super helpful, thank you Matthew!
Excellent video. Thank you ! Quick ques: When you say that the mean must equal the variance, do you mean that the mean of all the Y values of the observed data points must equal the variance of all the observed Y values of the dots of the scatter plot? thanks !
Very nice video. Thank you!
So... How to get the confidence interval of y after fitting the model?
THANK YOUUUUUU
Just thank youi!
great.. thanks sir
great vid, cheers
Yeap, the first thing you do is check the data for dispersion. If it's fine, go with Poisson. Otherwise, you are looking at quasi-Poisson or Negative Binomial.
Holy fuck is this video good