Behavioral testing of antidepressant compounds: an analysis of crossover design for correlated binary data.
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.
Shkedy
Ziv
Z
Limburgs Universitair Centrum, Center for Statistics, Biostatistics, Universitaire Campus, Building D, B 3590 Diepenbeek, Belgium. ziv.shkedy@luc.ac.be
Vandersmissen
Veerle
V
Molenberghs
Geert
G
Van Craenendonck
Hansfried
H
Aerts
Nancy
N
Steckler
Thomas
T
Bijnens
Luc
L
D000465:Algorithms; D000818:Animals; D000928:Antidepressive Agents / Q000008:administration & dosage*; D001499:Bayes Theorem; D001522:Behavior, Animal / Q000187:drug effects*; D001699:Biometry / Q000379:methods*; D003198:Computer Simulation; D018592:Cross-Over Studies; D003627:Data Interpretation, Statistical; D004305:Dose-Response Relationship, Drug; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D051381:Rats; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic; D016896:Treatment Outcome
D000928:Antidepressive Agents