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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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