Wolfgang Viechtbauer, Ph.D., Statistician | Department of Psychiatry and
Neuropsychology | Maastricht University | P.O. Box 616 (VIJV1) | 6200 MD
Maastricht, The Netherlands | +31 (43) 388-4170 | http://www.wvbauer.com
>-----Original Message-----
>From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Duncan,
>Laura
>Sent: Monday, January 30, 2017 18:18
>To: r-help at r-project.org
>Subject: [R] metafor rma.mv weights questions
>
>Hi there,
>
>Question:
>Does the rma.mv command in metafor automically adjust the weights to
>account for multiple effect sizes within study or do these weights need to
>manually calculated and applied?
>
>Details:
>In setting up a multilevel meta-analysis and meta-regression with multiple
>effect sizes within studies, I have seen the suggestion to adjust the
>weights according to Hedges, Tipton, & Johnson (suggestion made at
>24.33mins in this tutorial https://www.youtube.com/watch?v=rJjeRRf23L8)
>using:
> Wij=1/Kj*mean V.j
>I am wondering if the data is structured hierarchically and the random
>effects for each level specified correctly, does the rma.mv command
>automatically adjust the weights in this way? Another way to ask this
>question is - what are the default weights used by rma.mv when there are
>multiple estimates within studies?
>
>Thanks
>Laura
>
>Laura Duncan, M.A.
>Research Coordinator
>Offord Centre for Child Studies
>McMaster University
>
>Tel: 905 525 9140 x21504
>Fax: 905 574 6665
>duncanlj at mcmaster.ca
>ontariochildhealthstudy.ca
>offordcentre.com
>
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