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Article
Principal Point Classification: Applications to Differentiating Drug and Placebo Responses in Longitudinal Studies
Journal of Statistical Planning And Inference
  • Thaddeus Tarpey, Wright State University - Main Campus
  • Eva Petkova
Document Type
Article
Publication Date
1-1-2010
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 nonspecific placebo responders. (C) 2009 Elsevier B.V. All rights reserved.

DOI
10.1016/j.jspi.2009.07.030
Citation Information
Thaddeus Tarpey and Eva Petkova. "Principal Point Classification: Applications to Differentiating Drug and Placebo Responses in Longitudinal Studies" Journal of Statistical Planning And Inference Vol. 140 Iss. 2 (2010) p. 539 - 550 ISSN: 0378-3758
Available at: http://works.bepress.com/thaddeus_tarpey/19/