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.
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This page is a summary of: Trying to be precise about vagueness, Statistics in Medicine, August 2006, Wiley,
DOI: 10.1002/sim.2639.
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