How Robust is RoBMA?
Robust Bayesian Meta-Analysis, or RoBMA, was developed in E. J. Wagenmakers’ research group as a method for evaluating meta-analytic evidence while allowing for the possibility that published effects are exaggerated by publication bias. An important feature of RoBMA is that it does not merely estimate an effect size; it also assigns evidence to models in which the average effect is exactly zero.
This approach builds on a form of Bayesian hypothesis testing that Wagenmakers and colleagues have long promoted as more balanced than conventional null-hypothesis significance testing. In standard…
The skinny
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