|
Organizers |
Discrimination and Classification for Repeated Measures Data: A Review
by
Ravi Khattree
Oakland University, Rochester, MI 48309
Coauthors: Anuradha Roy
Statistical discrimination and classification is a classical multivariate problem. However, when the data are collected as repeated measures such as in clinical trials, then the classical approach may either be inappropriate or impractical or infeasible. This talk will review these issues and suggest approaches to overcome the problems presented by the classical approach.
Date received: August 23, 2007
Copyright © 2007 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cavm-45.