[R] naive variance in GEE
Thomas Lumley
tlumley at u.washington.edu
Tue Sep 9 23:21:34 CEST 2008
Sorry, I misread your message. Prof Ripley is right, as usual -- the
estimates use different stopping criteria and so are just numerically
different.
-thomas
On Tue, 9 Sep 2008, Thomas Lumley wrote:
> On Mon, 8 Sep 2008, Qiong Yang wrote:
>
>> Hi,
>>
>> The standard error from logistic regression is slightly different from the
>> naive SE from GEE under independence working correlation structure.
>
> Yes
>
>> Shouldn't they be identical? Anyone has insight about this?
>
> No, they shouldn't. They are different estimators of the same quantity, like
> the mean and median of a symmetric distribution.
>
> -thomas
>
>
>
>
>> Thanks,
>> Qiong
>>
>> a<-rbinom(1000,1)
>> b<-rbinom(1000,2,0.1)
>> c<-rbinom(1000,10,0.5)
>> summary(gee(a~b, id=c,family="binomial",corstr="independence"))$coef
>> summary(glm(a~b,family="binomial"))
>>
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>
> Thomas Lumley Assoc. Professor, Biostatistics
> tlumley at u.washington.edu University of Washington, Seattle
>
Thomas Lumley Assoc. Professor, Biostatistics
tlumley at u.washington.edu University of Washington, Seattle
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