Thanks for this, Kjetil. I see that I was getting interpretation and
estimation confused.
My apologies on not including the paper title. For the benefit of
those who read this post after me, it is:
Ai, Chunrong, and Edward C. Norton. 2003. "Interaction Terms in Logit
and Probit Models." E
nal Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of Kjetil Halvorsen
> Sent: Thursday, April 29, 2010 8:46 PM
> To: Andrew Miles
> Cc: r-help@r-project.org
> Subject: Re: [R] Interaction terms in logistic regression using glm
&g
see comments below.
On Wed, Apr 28, 2010 at 4:29 PM, Andrew Miles wrote:
> 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 effe
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 t
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