[R-meta] ML or REML in rma.mv

[Tharaka S. Priyadarshana]

Hello everyone,

I recently came across a paper that used "ML" estimation for a multi-level
meta-analysis, i.e. using "ML" with "rma.mv" function.

According to "metafor" description, it says that, "use of restricted
maximum likelihood (REML) estimation is generally recommended";
https://wviechtb.github.io/metafor/reference/misc-recs.html#:~:text=When%20fitting%20models%20with%20the,method%3D%22REML%22%20
).

Could someone please explain to me whether is it possible to get
different results if someone uses "ML" estimation instead of "REML" with ""
rma.mv" function? If yes/no, why is that?
Then, what are the major issues if "ML" estimation is used instead of
"REML" with ""rma.mv" function?
Could you please also share if you have any references (or any other
examples) that discuss these points? I mean the use of "ML" or "REML"
estimation in multi-level meta-analytic models.

Thank you very much.

Best regards,
Tharaka

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