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Optimal Designs for Comparing Test Treatments with Controls
Author(s) -
A. Hedayat,
Mike Jacroux,
Dibyen Majumdar
Publication year - 1988
Publication title -
statistical science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.204
H-Index - 108
eISSN - 2168-8745
pISSN - 0883-4237
DOI - 10.1214/ss/1177012767
Subject(s) - test (biology) , computer science , machine learning , econometrics , statistics , artificial intelligence , mathematics , biology , paleontology
: The authors introduce the problem with an example. How should we design an experiment to compare 4 test treatments with a control, using 18 experimental units? As a statistical question we will not be able to answer it unless it is asked in a more precise manner. To begin with we need to postulate a model for the response observed upon application of a treatment, test treatment or control, to an experimental unit. This paper shall consider three possible models: 1) O-way elimination of heterogeneity model in which all experimental units are homogeneous before application of treatments; 2) 1-way elimination of heterogeneity model in which experimental units can be divided into several homogeneous blocks; and 3) 2-way elimination of heterogeneity model in which the experimental units can be conceptually arranged according to rows and columns.

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