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Updated: Aug 16, 2026

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Published on: February 22, 2018
Behavioral testing of antidepressant compounds: an analysis of crossover design for correlated binary data
Ziv Shkedy1, Veerle Vandersmissen, Geert Molenberghs
1Limburgs Universitair Centrum, Center for Statistics, Biostatistics, Universitaire Campus, Building D, B 3590 Diepenbeek, Belgium. ziv.shkedy@luc.ac.be
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.
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