Optimal designs for evaluating a series of treatments

Leung, D. H. Y. & Wang, Y-G. (2001) Optimal designs for evaluating a series of treatments. Biometrics, 57(1), pp. 168-171.

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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.

Impact and interest:

3 citations in Scopus
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4 citations in Web of Science®

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ID Code: 90606
Item Type: Journal Article
Refereed: Yes
Additional Information: ISI Document Delivery No.: 409GW
Times Cited: 4
Cited Reference Count: 5
Leung, DHY Wang, YG
International biometric soc
Washington
Keywords: Bayesian, optimality, phase I studies, screening, sequential trials, soft tissue sarcoma, pilot trials, sample-size, agents
DOI: 10.1111/j.0006-341X.2001.00168.x
ISSN: 0006-341X
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright Wiley-Blackwell Publishing Ltd
Deposited On: 20 Nov 2015 04:30
Last Modified: 20 Nov 2015 04:30

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