I'll save you the trouble.
Yes, they're bigger. Or smaller. Certainly differ between experiments. So
what? That is just the way things work.
Google "weighting in meta-analysis" or similar for ways folks try to deal
with this.
Cheers,
Bert
On Tuesday, February 16, 2016, Wen Huang wrote:
> H
Hi Harold,
Thank you for your input. I was not very clear. I wanted to compare the
sigma2_A’s from the same model fitted to two different data sets. The same for
sigma2_e’s. The motivation is when I did the same experiment at two different
times, whether the variance due to A (sigma2_A) is bigg
(adding R mixed group). You actually do not want to do this test, and there is
no "shrinkage" here on these variances. First, there are conditional variances
and marginal variances in the mixed model. What you are have below as "A" is
the marginal variances of the random effects and there is no
3 matches
Mail list logo
