Re: st: difficulty in understanding link function in glm

[Reza Yousefi Nooraie <yousefr@mcmaster.ca>]

Thanks very much for the helpful link.
Now I understand!
Reza


On 2013-09-19, at 1:20 PM, Austin Nichols <austinnichols@gmail.com> wrote:

> Reza Yousefi Nooraie <yousefr@mcmaster.ca>:
> Yes, you misunderstood. Using transformed y and the identity link assumes
> E(lny|X)=Xb
> but using y and the log link assumes
> ln[ E(y|X) ]=Xb
> and these are not the same thing. Only one makes sense when y can be
> zero or negative. See
> 
> http://www.stata.com/meeting/boston10/boston10_nichols.pdf
> http://blog.stata.com/2011/08/22/use-poisson-rather-than-regress-tell-a-friend/
> 
> On Thu, Sep 19, 2013 at 1:02 PM, Reza Yousefi Nooraie
> <yousefr@mcmaster.ca> wrote:
>> Hi statalist members,
>> I have difficulty replicating the results using two alternative configurations of generalized linear model.
>> I'd like to predict a continuous dependent variable by a group of dichotomous and categorical variables. Since the dependent variable is highly skewed, I decided to log transform it. I assume that predicting a log transformed variable with a link(identity) function should give the same results as predicting the original variable with link(log) function. But not only the coefficients are different, but also their significance, and the overall log likelihood are different.
>> Perhaps I misunderstood the whole process.
>> Thanks for advice
>> Reza
> 
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