[R] Interaction terms in logistic regression using glm

[Andrew Miles]

I recently became aware of the article by Ai and Norton (2003) about  
how interaction terms are problematic in nonlinear regression (such as  
logistic regression).  They offer a correct way of estimating  
interaction effects and their standard errors.

My question is:  Does the glm() function take these corrections into  
account when estimating interaction terms for a logistic regression  
(i.e. when family=binomial)?  If not, is there a function somewhere  
that allows for correct estimation?

I've looked the documentation for glm and couldn't find an answer, nor  
have I seen the issue addressed in the forums or in the examples of  
logistic regression in R that I've found online.

Thanks!

Andrew Miles