[R-meta] How does the rma.mv function handle multiple inferences within a study-level

[Divya Ravichandar]

My use case is presented in the dataframe below. Studies a,b and c are to
be integrated in a meta-analysis using: rma.mv(ES, SE^2, random = ~ 1 |
Study, data=case)

In this case, studies a & b have one inference each but because of my study
design two inferences exist for study c.  I am curious as to how the 2
inferences under study c are weighted in the meta-analysis calculation as
compared to the inference for studies a &b.

case <- data.frame(Study=
c("a","b","c","c"),Effect_size=c(-1.5,-3,1.5,3),Standard_error=c(.2,.4,.2,.4))

Thanks
-- 
*Divya Ravichandar*
Scientist
Second Genome

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