Abstract: Bioequivalence is an important area of pharmaceutical research containing many questions which are not yet resolved. Various statistical approaches have been discussed in the literature. We address stopping rules for testing bioequivalence from a decision-theoretic point of view. Numerical techniques for Bayes sequential decision problems are employed to obtain solutions of the continuous time optimal stopping problem on bioequivalence.
Key words and phrases: Bioequivalence, backward induction, Bayes risk, decision theory, optimal stopping, sequential analysis.