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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 …
chabeck's user avatar
  • 356
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 …
chabeck's user avatar
  • 356
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 …
chabeck's user avatar
  • 356
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 …
chabeck's user avatar
  • 356