Robust incorporation of historical information with known type I error rate inflation
Silvia Calderazzo,
Manuel Wiesenfarth,
Annette Kopp‐Schneider
Abstract:Bayesian clinical trials can benefit from available historical information through the specification of informative prior distributions. Concerns are however often raised about the potential for prior‐data conflict and the impact of Bayes test decisions on frequentist operating characteristics, with particular attention being assigned to inflation of type I error (TIE) rates. This motivates the development of principled borrowing mechanisms, that strike a balance between frequentist and Bayesian decisions. Ide… Show more
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