[R-meta] Choice of 'struct' in rma.mv inner| outer model
Hi all
I would like to learn what motivates the choice of the variance structure
(struct parameter) in an inner|outer model set up in rma.mv. An example of
my test data is attached and I run rma.mv on my test data (dt) as below. In
my example below, some outer levels have only 1 inner level while other
have multiple inner levels. Any input on what should be considered when
choosing the model structure would be very helpful.
`res <- rma.mv(Effect_size, (Standard_error)^2, data = dt,
random = ~ Dataset | Cohort, method="REML",
control = list(optimizer="optim", optmethod="Nelder-Mead"))`
*Divya Ravichandar* Scientist Second Genome -------------- next part -------------- An HTML attachment was scrubbed... URL: <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/attachments/20200422/828a5429/attachment.html> -------------- next part -------------- A non-text attachment was scrubbed... Name: Example.csv Type: text/csv Size: 1421 bytes Desc: not available URL: <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/attachments/20200422/828a5429/attachment.csv>