A Two‐stage Design for Comparing Clinical Trials
作者:
Pinyuen Chen,
Lifang Hsu,
期刊:
Biometrical Journal
(WILEY Available online 1992)
卷期:
Volume 34,
issue 1
页码: 29-35
ISSN:0323-3847
年代: 1992
DOI:10.1002/bimj.4710340104
出版商: WILEY‐VCH Verlag
关键词: Least favorable configuration;Hypothesis testing;Ranking and selection
数据来源: WILEY
摘要:
AbstractA two‐stage design is proposed to choose among several experimental treatments and a standard treatment in clinical trials. The first stage employs a selection procedure to select the best treatment, provided it is better than the standard. The second stage tests the hypothesis between the best treatment selected at the first stage (if any) and the standard treatment. All the treatments are assumed to follow normal distributions and the best treatment is the one with the largest population mean. The level and the power are defined and they are used to set up equations to solve unknown first stage sample size, second stage sample size, and procedure parameters. The optimal design is the one that gives the smallest average sample size. Numerical results are presented to illustrate the improvement of one design as compared to existing one stage desig
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