I am running a meta-analysis using metafor R package. I am comparing studies on a continuous variable, that can be synthetized by the mean. Such studies can be grouped in three blocks. I used a meta regression, e.g.
dat <- escalc(measure="MN", mi=mean, sdi=sd, ni=num, data=dbtemp) res <- rma(yi, vi, mods =~ factor(group), data=dat)
I know that I can know whether group is significant or not. But how can I assess whether each level within group is significant from the other. I.e., how I can perform multiple comparisons (post hoc analysis) within a meta - analysis context?