Detecting outliers in Negative Binomial Regression

Hi all!

I am conducting a negative binomial regression for my statistics project. I have been looking online about how to detect outliers but am not finding anything. I know that when using linear regression, the mahalanobis distance is used. However, since negative binomial regression is non-linear, how would I detect outliers in the data? Is there another technique or can I just use mahalanobis distances?



TS Contributor
I have just check the book "Negative Binomial Regression". In chapter 5: Assessment of Count models, it also mention (Pearson) Residuals, hat statistics, and leverage. Maybe you can take a look.