As seen below from Piet De Jong, Generalized Linear Models for Insurance Data, for linear model, we can identify high leverage, if the value of leverage>2p/n (or hii > 2p/n) then the indicates the case is unusual in the space of explanatory variables.
If I have a Logit Regression/Logistic Regression, does anyone know can I use the rule of thumb that $h_{ii}>2p/n$ to identify large leverage? Or does anyone have references for the rule of thumb for hii (to identify which case is unusual in the space of explanatory variable) in logistic regression?
