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Behavioral Testing of Antidepressant Compounds: An Analysis of Crossover Design for Correlated Binary Data
Author(s) -
Shkedy Ziv,
Vandersmissen Veerle,
Molenberghs Geert,
Van Craenendonck Hansfried,
Aerts Nancy,
Steckler Thomas,
Bijnens Luc
Publication year - 2005
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.200410130
Subject(s) - crossover , binary data , crossover study , statistics , binary number , mathematics , generalized estimating equation , computer science , medicine , artificial intelligence , arithmetic , alternative medicine , pathology , placebo
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. (© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)