Thanks, all, for the input and advice. I'm now progressing through the
references and tools recommended.
Roy
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>Sent: Monday, 14 January, 2019 15:52
>To: r-sig-ecology@r-project.org
>Subject: [R-sig-eco] Regression when Y has an estimation variance
>
>Roy,
>
>One relevant literature is that on meta-regression (a generalization of
>meta-analysis). There is a very good handbook by Korichev
Bayesian mixed models implemented in MCMCglmm and brms have an argument to
specify the variances for meta analysis. I never used them for this task,
though. However, the author of brms is psychologist where meta analyses are
common.
Cheers!
On Mon, 14 Jan 2019 at 15:52, Dixon, Philip M [STAT]
wr
Roy,
One relevant literature is that on meta-regression (a generalization of
meta-analysis). There is a very good handbook by Koricheva, Gurevitch and
Mengerson. Meta analysis mostly deals with Gaussian responses (or
transformable to approximately Gaussian). If there has been any work on
no
