[R] binary

[Mohamed Lajnef]

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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>   


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