Abstract
Causality assessment in individual patients is an exercise in medical differential diagnosis. Its purpose is to determine whether a particular adverse event in a patient is caused by an administered drug. Currently, causality assessment is best done by trained persons who use specified information and an algorithm to bring discipline and consistency into the decision making process. This workshop will consider a new approach to causality assessment based on Bayesian principles.
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