Negative Binomial Regression model | Statistical model| Count Data model

IN this video you will learn about the negative binomial regression. Such models are used when you have count data that is over dispersed, which mean the variance of the dependent variable is much higher than the mean. This is somewhat similar to Poisson regression model as well.
Reference: stats.idre.ucla.edu/r/dae/neg...
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[@CormanToth]

Great explanation - thanks for this

[@hanan_almulla]

AMAZING

[@Hoochy0208]

I need to do a post-hoc pairwise comparison of my negative binomial model. Do you know what test I should use?

[@Suresh8848m]

Good job...Keep it up please...

[@nickjames1066]

Hi great video thank you for posting it! So to test the significance of a variable with multiple categories you must always run NegBin models with and without that variable and save those 2 model outputs as objects. Then run an ANOVA on those 2 objects to see if the difference in the response variable is significant?

[@brazilfootball]

How do we interpret theta = 1.033?
A summary of my own model calculates a theta = 0.3949, what does this mean?

[@curiouscat98]

To increase your subscribes it is necessary to give the data and code as Dr. Rai doing and getting lots of subscriber. Test yourself.

[@samyajitbasu8263]

Can you please post the data set?

[@mjgvanschaik]

Hello Samyajit, the dataset can be found by following the instructions on this website: stats.idre.ucla.edu/r/dae/negative-binomial-regression/