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Methods focused on contrasting and combining results from different studies, in the hope of increasing precision and external validity.
6
votes
1
answer
346
views
Testing for publication bias in meta-analysis when effect is raw mean
I am conducting a multi-level meta-analysis using rma.mv in the metafor package in R. The effect size measure I am working with is the raw mean (measure="MN" in metafor). The sampling variance (vi) fo …
2
votes
1
answer
1k
views
Calculation for the estimated sampling variance of individual group raw mean
I am conducting a meta-analysis where the effect size is the individual group raw mean (i.e., not raw mean difference). A couple of questions:
How (in R: metafor or otherwise) is the estimated sampl …
3
votes
1
answer
811
views
Interpreting intercept-only meta-analysis model when effect size is raw mean
Although I plan to use moderators to understand how the raw mean (and its sampling variance) is related to specific experimental conditions, I am curious: how would you interpret the intercept-only mo …
14
votes
1
answer
5k
views
Metafor package: bias and sensitivity diagnostics
I am conducting a multi-level meta-analysis that includes some articles with multiple outcomes. Therefore I am using the rma.mv() function. Example code:
test.main = rma.mv(yi,vi,random = ~1|ID, data …