Regression with Count Data: Poisson and Negative Binomial

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Күн бұрын

Poisson, quasi-Poisson, and negative binomial regression - when to do them and how you should choose the method. What are overdispersion and underdispersion, and why are they problems? How to deal with too many zero counts (zero-inflation) or when zero counts are impossible (zero-truncation).
0:00 Background
2:26 Poisson Regression: What and Why
7:05 Overdispersion: Quasi-Poisson or Negative Binomial
13:25 Zero-Inflation and Zero-Truncation
18:37 Summary Table

Пікірлер: 30

@youngzproduction7498 3 жыл бұрын

This clip alone gave me more information than I ever imagined. Thanks.

@Sefa-Safa Жыл бұрын

This is super useful to understand and apply the poisson regression analysis. one of the best tutorial I have ever watched. Many thanks!

@dtox316 3 жыл бұрын

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!

@smartmarc333 2 жыл бұрын

I agree, really really good educational video, much appreciated

@RqueErre Жыл бұрын

Amazing video! Excellent explanation and very useful!

@cathrineb4923 2 жыл бұрын

Thank you so much for posting this video!

@hola-kx1gn 3 жыл бұрын

Nice ! Thanks for the timestamps !

@laurafigueroa44 3 жыл бұрын

super helpful, thank you Matthew!

@pranilbasu7476 3 жыл бұрын

Great ! Please keep posting more such videos

@shengmingwong6968 Жыл бұрын

Very excellent video! Thanks!

@estefaniavillanueva1294 3 ай бұрын

OMG, thank you so much for this very informative video, it really helped me a lot!

@sameerhassan7516 2 жыл бұрын

Very nice video. Thank you!

@HashanDananjaya 6 ай бұрын

Thank you very much! This helped me quite a lot!!

@ibrahimkassoumhabibou4076 2 жыл бұрын

Hi ! Thank you for explaining theses models. Is it possible to provide the R code you 've been using to compute the graphics ?

@pabos1993 2 жыл бұрын

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

@francoisdaudelin8610 3 жыл бұрын

Thank you so much! Excellent explanation!

@francoisdaudelin8610 3 жыл бұрын

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

@kanefoster8780 3 жыл бұрын

great vid, cheers

@kaustavchakrabarty4925 3 жыл бұрын

can you provide the code for the mean vs varaince plot for quasi poisson and negative binomial glm....that will be very helpful

@steilacoom 2 жыл бұрын

Great explanations

@iaaan1245 Жыл бұрын

this is an awesome video

@laxmanbisht2638 3 жыл бұрын

great.. thanks sir

@SangheiliG099 2 жыл бұрын

Just thank youi!

@tonycardinal413 Жыл бұрын

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 !

@Nicoleuni7 Ай бұрын

THANK YOUUUUUU

@abcpsc 3 жыл бұрын

So... How to get the confidence interval of y after fitting the model?

@brazilfootball 2 жыл бұрын

Do fish counts from a bay over time disqualify this kind of data for a Poisson distribution because it's a time series dataset?

@thejll 2 жыл бұрын

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.