Message-ID: <loom.20130119T220937-320@post.gmane.org>
Date: 2013-01-19T21:11:36Z
From: Ben Bolker
Subject: Partialing out the effect of a covariable in a Poisson GLMM
<v_coudrain at ...> writes:
>
> 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?
Don't know exactly what you want to do, but presumably fitting
a "null model" with the covariate and then building more complex models
on top of this -- adding the other covariates -- and doing sequential testing
(anova(full_model,model_with_only_first_covariate)). The linear models
idea of partialing out one variable and running a model on the residuals
doesn't work as well, unfortunately.
Ben Bolker