Title

Optimal Designs for Evaluating a Series of Treatments

Publication Type

Journal Article

Publication Date

2001

Abstract

Several articles in this journal have studied optimal designs for testing a series of treatments to identify promising ones for further study. These designs formulate testing as an ongoing process until a promising treatment is identified. This formulation is considered to be more realistic but substantially increases the computational complexity. In this article, we show that these new designs, which control the error rates for a series of treatments, can be reformulated as conventional designs that control the error rates for each individual treatment. This reformulation leads to a more meaningful interpretation of the error rates and hence easier specification of the error rates in practice. The reformulation also allows us to use conventional designs from published tables or standard computer programs to design trials for a series of treatments. We illustrate these using a study in soft tissue sarcoma.

Discipline

Econometrics | Medicine and Health Sciences

Research Areas

Econometrics

Publication

Biometrics

Volume

57

Issue

1

First Page

168

Last Page

171

ISSN

1541-0420

Identifier

10.1111/j.0006-341X.2001.00168.x

Publisher

Wiley

Additional URL

http://dx.doi.org/10.1111/j.0006-341X.2001.00168.x

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