Prior distributions for random effect meta-analysis

What is it about?

Shows that various so-called Bayesian prior distributions for the random treatment by trial interaction in meta-analysis are not really Bayesian

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Why is it important?

Considers the fact that the random effect variance must be related to the main effect of treatment and tentatively suggests a prior distribution to deal with it. Proposes a graphical representation of the problem.