Statistics and Data Science Seminar
Professor Min Yang
University of Missouri – Columbia
Optimal crossover designs
Abstract: Crossover designs, where experimental subjects are used in two or more (p)
periods for the purpose of evaluating and studying two or more (t) treatments,
originated from agricultural studies and have proven widely effective in a
variety of fields, especially in phase I and phase II pharmaceutical clinical
trials. The rigorous study of these designs and their optimality and efficiency
has a history of more than 3 decades. In this talk, we will review and study the
optimality, efficiency, and robustness of crossover designs under the following
two different situations (i) all treatment comparisons are equally important and
(ii) for comparing several test treatments to a control treatment. Two
algorithms, both guided by these efficiencies and results from optimal design
theory, are proposed for obtaining efficient designs under the various models.
Coffee
Wednesday March 29, 2006 at 10:00 AM in SEO 512