Two-stage selection and testing designs for comparative clinical trials

Peter F. Thall; Richard Simon; Susan S. Ellenberg

doi:10.1093/biomet/75.2.303

Two-stage selection and testing designs for comparative clinical trials

Peter F. Thall, Richard Simon, Susan S. Ellenberg

Research output: Contribution to journal › Article › peer-review

160 Scopus citations

Abstract

A two-stage design which selects the best of several experimental treatments and compares it to a standard control is proposed. The design allows early termination with acceptance of the global null hypothesis. Optimal sample size and cut-off parameters are obtained by minimizing expected total sample size for fixed significance level and power.

Original language	English (US)
Pages (from-to)	303-310
Number of pages	8
Journal	Biometrika
Volume	75
Issue number	2
DOIs	https://doi.org/10.1093/biomet/75.2.303
State	Published - Jun 1988
Externally published	Yes

Keywords

Clinical trial
Expected sample size
Optimal design
Selection
Two-stage design

ASJC Scopus subject areas

Statistics and Probability
General Mathematics
Agricultural and Biological Sciences (miscellaneous)
General Agricultural and Biological Sciences
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1093/biomet/75.2.303

Cite this

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title = "Two-stage selection and testing designs for comparative clinical trials",

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KW - Expected sample size

KW - Optimal design

KW - Selection

KW - Two-stage design

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Two-stage selection and testing designs for comparative clinical trials

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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