|
|
|
This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
|
|
|
The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_03C | Sat, 7/28/07, 8:30 AM - 5:00 PM | CC-150 A-C |
| Design and Analysis of Crossover Experiments - Continuing Education - Course | ||
|
Biopharmaceutical Section, ASA |
||
| Instructor(s): Dallas Johnson, Kansas State University | ||
| Crossover designs are a special type of a repeated measures experiment where the experimental units are given different treatments in different sequences over time. They offer some real advantages over traditional designs when comparing different treatments, as crossover designs allow each experimental unit to serve as its own control. There are however certain pitfalls that must be avoided if crossover designs are going to be used effectively. This course is intended for those who are involved with analyzing certain kinds of messy experiments that involve crossover designs with ordinal and/or continuous data. The course will introduce the important issues associated with crossover experiments, and provide instructions as to how to use statistical packages such as SAS and SPSS to correctly analyze crossover experiments with and without carryover effects. | ||
|
JSM 2007
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. |