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
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 !
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.
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
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
Hi ! Thank you for explaining theses models. Is it possible to provide the R code you 've been using to compute the
graphics ?
can you provide the code for the mean vs varaince plot for quasi poisson and negative binomial glm....that will be very helpful
Amazing video! Excellent explanation and very useful!
OMG, thank you so much for this very informative video, it really helped me 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
Thank you very much! This helped me quite a lot!!
Very excellent video! Thanks!
Great ! Please keep posting more such videos
Nice ! Thanks for the timestamps !
Thank you so much for posting this video!
Great explanations
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 !
super helpful, thank you Matthew!
Very nice video. Thank you!
What would I use to do a negative binomial regression in SAS?
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.
this is an awesome 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?
THANK YOUUUUUU
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.
Just thank youi!
So... How to get the confidence interval of y after fitting the model?
great.. thanks sir
great vid, cheers
Holy fuck is this video good