Two-Stage Selection Procedures Based on Tests.

Abstract

Suppose that k new treatments have been developed with the purpose of replacing the standard treatment with the best new one, provided that it is actually an improvement on the standard treatment. In a parametric approach, mainly under the assumption of monotones likelihood ratios, procedures are considered which, at a first stage, screen out inferior treatments through statistical tests at a common level of significance. If none (exactly one) is not eliminated, none (this one) will be used as a replacement. Otherwise, if more than one treatment overcomes this screening process, that one of the non-eliminated treatments will be chosen as the replacement which is judged to be the best, after additional data have been observed from the selected treatments. Topics of this paper are the questions of how to choose the terminal decision at the second stage and the tests at the first stage, respectively, and how to implement the appropriate procedures at certain pre-specified performance criteria. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA133405

Entities

People

  • Klaus J. Miescke

Organizations

  • Purdue University

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  • Energy and Power Technologies
  • Human Systems

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  • Mathematics

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  • Oncology
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