Comments (5)
I haven't worked much with meta-analysis and prediction, so I think I must get a bit more into this topic to know what I'm exactly doing.
from ggeffects.
Meta-analytic models are versions of mixed models. However, metafor
's rm.mv
may be written in a very different way, say, from lme4
's lmer
. I wrote a paper explaining this similarity. Please look at here.
I hope this gives you an overview of normal meta-analytic models as well as multi-level (hierarchical) meta-analytic models.
Any questions or anything I could help you with, let me know
Thanks!
Shinichi
from ggeffects.
I was also wondering how to use ggeffects with meta-analyses. I have very small datasets, that combined in meta-analyses, show significant interactions between covariates but not on their own; I would like to plot the predicted effects when combining each of these smaller datasets (I can't append the datasets due to privacy etc).
Alternatively, would it be possible to combine multiple ggeffects objects using meta-analysis, and then plot that?
from ggeffects.
I just wanted to add that this would indeed be a really nice add-on to this wonderful package. I've heard this from many people as well.
I think it would also be useful to let ggpredict
work with coef_test
from clubSandwich
package after meta-analysis, and especially the multivariate meta-analysis model has been fitted. To my knowledge there is nothing out there like predict
for linear models, or predict.rma.mv
for multivariate meta-analyses, so we're limited with presenting graphs that should contain robust variances instead.
from ggeffects.
If anyone could provide a reproducible example, that would be helpful to work on this issue.
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Related Issues (20)
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