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.
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.
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|Item Type:||Journal Article|
|Additional Information:||ISI Document Delivery No.: 409GW
Times Cited: 4
Cited Reference Count: 5
Leung, DHY Wang, YG
International biometric soc
|Keywords:||Bayesian, optimality, phase I studies, screening, sequential trials, soft tissue sarcoma, pilot trials, sample-size, agents|
|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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