[R] binary

[Val]

Thanks for your response.

Do you mean that both the log-odds and odd ratio have the same meaning?





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

On Mon, Jan 25, 2010 at 10:05 AM, Mohamed Lajnef
<Mohamed.lajnef at inserm.fr> wrote:
> 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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>>
>
>
> --
> Mohamed Lajnef
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