Message-ID: <09b5501be09e48c4b690de74f00915f9@UM-MAIL3214.unimaas.nl>
Date: 2022-01-31T17:00:18Z
From: Wolfgang Viechtbauer
Subject: [R-meta] rma.mv only for better SEs
In-Reply-To: <CACgv6yUgxDZZY9jYX6NFGTOwWTnmcUr1qXG9DbjNsP+42K_nRw@mail.gmail.com>
Generally, two models with different random effects structures will also give you different estimates of the fixed effects (unless the estimates of the variance/covariance components happen to be such that the two models collapse down to the same structure).
Best,
Wolfgang
>-----Original Message-----
>From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org] On
>Behalf Of Simon Harmel
>Sent: Monday, 31 January, 2022 17:49
>To: R meta
>Subject: [R-meta] rma.mv only for better SEs
>
>Hello List Members,
>
>Reviewing the archived posts, my understanding is that my studies can
>produce multiple effects, so I should use rma.mv() not rma().
>
>Also, I understand rma.mv() ensures that I get more accurate SEs for my
>fixed effects relative to rma().
>
>BUT does that also mean that, by definition, rma.mv() should have no
>bearing on the magnitude of the fixed effects themselves and only modifies
>their SEs relative to rma()?
>
>Thank you,
>Simon