Robust Bayesian multilevel meta-analysis: Adjusting for publication bias in the presence of dependent effect sizes.

First, RoBMA comprehensively adjusts for multiple forms of publication bias, including selection on marginally significant p values and selection for positive effects (i.e., suppression of negative or “backfire” effects).

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We can notice clear discontinuities corresponding to the selection on the direction of the effect and marginal significance.

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