A randomization test for a three-period three-treatment crossover experiment
作者:
C. David Shen,
Dana Quade,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1983)
卷期:
Volume 12,
issue 2
页码: 183-199
ISSN:0361-0918
年代: 1983
DOI:10.1080/03610918308812310
出版商: Marcel Dekker, Inc.
关键词: design of experiments;linear model;missing data
数据来源: Taylor
摘要:
We consider a three-period three-treatment crossover experiment to compare the effects of two drugs with a placebo. Subjects within each successive block of six are randomly assigned to the six possible treatment sequences. A full rank linear model is developed for this design. The experiment is carried out and several response variables are measured. Missing data disturb the balance, however, and normality assumptions appear untenable. The significance level of the results is therefore determined by random reassignment of treatment sequences to subjects, in accordance with the randomization actually performed in the experiment.
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