Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1149413 | Journal of Statistical Planning and Inference | 2010 | 12 Pages |
Abstract
Principal points are cluster means for theoretical distributions. A discriminant methodology based on principal points is introduced. The principal point classification method is useful in clinical trials where the goal is to distinguish and differentiate between different treatment effects. Particularly, in psychiatric studies where placebo response rates can be very high, the principal point classification is illustrated to distinguish specific drug responders from non-specific placebo responders.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Thaddeus Tarpey, Eva Petkova,