This course will cover multiple comparisons and multiple testing methods, from basic and state-of-the practice to advanced and state-of-the-art. Topics include "family" choice, combined versus component tests, interval versus test-based inference, Intersection-Union versus Union-Intersection tests, False Discovery Rate versus Familywise Error Rate, and Bayes/frequentist views. Models include standard ANOVA and multivariate analysis, as well as more general models used in survival analysis, mixed models, and nonparametrics. Emphasis will be given to closed and stepwise testing procedures, interval-based inference, and power analysis; with specific presentation of Holm, Hochberg, Hommel, Fisher combination, Westfall-Young, Dunnett, Lehmacher, fixed sequence, and gatekeeping methods. Applications include clinical trials, agriculture, business, and genetics.

Course attendees are expected to be familiar with the topic at the level of:
Applied Linear Statistical Models by Michael H. Kutner, John Neter, Chris Nachtsheim, and William Wasserman, McGraw-Hill.

JSM 2006 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised April, 2006