STAT SEMINAR SERIES :: Two-treatment crossover designs

GUEST LECTURER
John Stufken

AFFILIATION
University of Georgia

ABSTRACT
Crossover designs are useful and popular for certain experiments in a variety of fields, including in the pharmaceutical industry. In some applications they enjoy important advantages over parallel trials, but they also induce a number of potential problems not faced with parallel trials. The possible presence of carryover effects is one of these.

Partly as a result of this, a number of different models have been considered for analyzing data from a crossover design. In this talk we will focus on the optimal design question. Thus, given that we want to use a certain model, what is a good design to use? We will restrict our attention to the situation that only two treatments are to be compared in the experiment.

DATE & TIME
Thursday, April 06, 2006 -- 11:00 AM

DURATION
1 hour

LOCATION
Executive Room #228

CONTACT PERSON
Ming Yuan