Abstract
The talk introduces the motivation behind equivalence testing, highlights the limitations of classical approaches, and presents new correction procedures that achieve more accurate finite-sample performance. Through theoretical derivations, simulation results and practical illustrations, the presentation summarizes how these contributions strengthen statistical inference in bioequivalence, pharmaceutical research, and beyond.