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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2042

Title: Behavioral testing of antidepressant compounds: An analysis of crossover design for correlated binary data
Authors: Shkedy, Ziv
Vandersmissen, Veerle
Molenberghs, Geert
Van Craenendonck, H
Aerts, Nancy
Steckler, T
Bijnens, Luc
Issue Date: 2005
Citation: BIOMETRICAL JOURNAL, 47(3). p. 286-298
Abstract: The differential reinforcement of low-rate 72 seconds schedule (DRL-72) is a standard behavioral test procedure for screening potential antidepressant compounds. The protocol for the DRL-72 experiment, proposed by Evenden et al. (1993), consists of using a crossover design for the experiment and one-way ANOVA for the statistical analysis. In this paper we discuss the choice of several crossover designs for the DRL-72 experiment and propose to estimate the treatment effects using either generalized linear mixed models (GLMM) or generalized estimating equation (GEE) models for clustered binary data.
Notes: Limburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium. J&JPRD, Non Clin Biostat, Beerse, Belgium.Shkedy, Z, Limburgs Univ Ctr, Ctr Stat, Univ Campus,Bldg D, B-3590 Diepenbeek, Belgium.ziv.shkedy@luc.ac.be
URI: http://hdl.handle.net/1942/2042
DOI: 10.1002/bimj.200410130
ISI #: 000230361800008
ISSN: 0323-3847
Category: A1
Type: Journal Contribution
Validation: ecoom, 2006
Appears in Collections: Research publications

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