Hi val,
Val a écrit :
Hi all
Assume I have a data set xx;
Group: 1=group1 , 2=group2
IQ: 1= High, 0 =low
fit <- glm(IQ ~group, data = xx, family = binomial())
summary(fit)
Results
Estimate Std. Error z value Pr(>|z|)
(Intercept) -2.55456 0.210 -12.273 < 5e-16 ***
group 0.36180 0.076 3.952 5.24e-05 ***
the odd ratio = exp(0.36180 )= 1.435912
My question is that the log-odd estimate 0.3618 is it for group1 or group2?
normally 1vs2, glm takes 2 as reference, in the group1 the IQ increase
by 0.3618compared to group 2
What does the odd ratio 1.43359 is interpreted?
in the group1 the IQ score increase by 1.43359 compared to group 2
Thanks in advance
Regards
ML
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