Abstract
In her recent article, “Evidence, Belief, and Action: The Failure of Equipoise to Resolve the Ethical Tension in the Randomized Clinical Trial,” Deborah Hellman gives a new twist to an old objection against clinical equipoise. Roughly, clinical equipoise is the requirement that there exist credible uncertainty in the expert medical community regarding the preferred treatment for a particular condition. This uncertainty is widely regarded as a necessary condition for enrolling participants in a clinical trial. The old objection is that clinical equipoise represents an overly permissive, and therefore morally unacceptable, mechanism for resolving the fundamental tension in clinical research between fidelity to the interests of the individual research participant, and fidelity to the statistical and scientific methods that are necessary to produce generalizable data in a reliable manner. Hellman's new twist on this objection utilizes some of the rudimentary architecture of Bayesian statistical theory to argue that clinical equipoise focuses our moral attention on the wrong issue.
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