If you believe the coefficient of x should be   b , make  b*x  your offset
variable.

Murray Jorgensen
On Jan 20, 2013 12:01 AM, <r-sig-mixed-models-request@r-project.org> wrote:

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>    1. Partialing out the effect of a covariable in a Poisson    GLMM
>       (v_coudrain@voila.fr)
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> ----------------------------------------------------------------------
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> Message: 1
> Date: Sat, 19 Jan 2013 11:21:48 +0100 (CET)
> From: v_coudrain@voila.fr
> To: r-sig-mixed-models@r-project.org
> Subject: [R-sig-ME] Partialing out the effect of a covariable in a
>         Poisson GLMM
> Message-ID: <1741932476.209931358590908592.JavaMail.www@wwinf7130>
> Content-Type: text/plain; charset=UTF-8
>
> Dear all,
> I recenly asked a question about the use of an offset in a Poisson GLMM
> and it came out that an ofset would be reasonable if the estimate of the
> covariable to be put
> as an offset is about 1. However if this estimate is not close to one,
> does anybody know about a partial linear regression equivalent for a
> Poisson GLMM? Or what
> are your method to control for the effect of a covariable in a Poisson
> GLMM?
> Best wishes,
> Valerie
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