From soren.faurby at biology.au.dk  Tue Jan  6 12:25:04 2009
From: soren.faurby at biology.au.dk (soren.faurby at biology.au.dk)
Date: Tue,  6 Jan 2009 12:25:04 +0100 (CET)
Subject: [Rd] Apparant bug in binomial model in GLM (PR#13434)
Message-ID: <20090106112504.50983282EFF6@mail.pubhealth.ku.dk>

Full_Name: S?ren Faurby
Version: 2.4.1 and 2.7.2
OS: 
Submission from: (NULL) (192.38.46.92)


There appear to be a bug in the estimation of significance in the binomial model
in GLM. This bug apparently appears when the correlation between two variables
is to strong.

Such as this dummy example
c(0,0,0,0,0,1,1,1,1,1)->a
a->b
m1<-glm(a~b, binomial)
summary(m1)

It is sufficient that all 1's correspond to 1's such as this example

c(0,0,0,0,0,1,1,1,1,1)->a
c(0,0,0,0,1,1,1,1,1,1)->c
m1<-glm(a~c, binomial)
summary(m1)

I hope that this message is understandable. 

Kind regards, S?ren



[Rd] Apparant bug in binomial model in GLM (PR#13434)
soren.faurby at biology.au.dk