Abstract
The customary interpretation of active-controlled noninferiority trials is founded on a number of unverifiable assumptions. These assumptions can be circumvented, and the semantic and statistic interpretation of the trials placed on a more rational foundation, if treatment comparisons are analyzed from a Bayesian perspective. In conclusion, the resultant probabilistic measures thereby render the meaning of noninferiority more transparent and clinically relevant.
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