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Hierarchical Bayesian models specify priors on parameters and hyperpriors on the parameters of the prior distributions

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Predicted treatment effect for causally related conditions

Let's say there are two medical conditions $A$ and $B$ that are causally-related, i.e. that they share a common etiological process $C$. For example, $A$ and $B$ could be related autoimmune conditions …
Brandon Brown's user avatar