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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/4028

Title: Psychotropic drug classification based on sleep-wake behaviour of rats
Authors: Wouters, Kristien
Ahnaou, Abdellah
Cortinas Abrahantas, Jose
Molenberghs, Geert
Geys, Helena
Bijnens, Luc J.M.
Drinkenburg, Wilhelmus H. I. M.
Issue Date: 2007
Publisher: BLACKWELL PUBLISHING
Citation: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 56. p. 223-234
Abstract: The aim of the paper is to present methodology for the classification of potential psychotropic drugs on the basis of their activity. We first sketch the background of this class of drugs and then zoom in on so-called pharmacoelectroencephalogram studies. These data pose some statistical challenges. For classification purposes, we propose a flexible hierarchical discriminant analysis tool, allowing us to take the specific nature of the drug class into account, as well as the features of the mixed models, in combination with fractional polynomials, fitted to the electroencephalogram data. The method is evaluated against the background of existing methods. The method's performance is studied by using a comprehensive analysis of a large electroencephalogram data set.
Notes: Univ Hasselt, Ctr Stat, B-3590 Diepenbeek, Belgium. Johnson & Johnson Pharmaceut Res & Dev, Beerse, Belgium.WOUTERS, K, Univ Hasselt, Ctr Stat, Univ Campus, B-3590 Diepenbeek, Belgium.Kristien.WOUTERS@uhasselt.be
URI: http://hdl.handle.net/1942/4028
DOI: 10.1111/j.1467-9876.2007.00575.x
ISI #: 000245159600007
ISSN: 0035-9254
Category: A1
Type: Journal Contribution
Validation: ecoom, 2008
Appears in Collections: Research publications

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