A new adaptive design based on Simon's two-stage optimal design for phase II clinical trials
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Published on: September 20, 2019
1School of Mathematical Sciences, South China Normal University, 510631, PR China. jinh1@163.com
Abstract:
Phase II clinical trials are conducted to determine whether a new agent or drug regimen has sufficient promise in treating cancer to merit further testing in larger groups of patients. Both ethical and practical considerations often require early termination of phase II trials if early results clearly indicate that the new regimen is not active or worthy of further investigation. Simon's two-stage designs (1989) are common methods for conducting phase II studies investigating new cancer therapies. Banerjee and Tsiatis (2006) proposed an adaptive two-stage design which allows the sample size at the second stage to depend on the results at the first stage. Their design is more flexible than Simon's, but it is somewhat counter-intuitive: as the response in the first stage increases, the second-stage sample size increases till a certain point and then abruptly becomes zero. In this paper, based on Simon's two-stage optimal design, we propose a new adaptive one which depends on the first stage results using the restrict conditions the conditional type I error and the conditional power. Comparisons are made between Banerjee and Tsiatis' results and our new adaptive designs.
Insights
This study introduces a novel adaptive two-stage design for phase II clinical trials in cancer research. The new design offers improved flexibility and decision-making compared to existing methods, enhancing cancer drug development.
Area of Science:
- Clinical Trials Methodology
- Biostatistics
- Cancer Therapeutics
Background:
- Phase II clinical trials assess promising cancer treatments before larger studies.
- Early termination of trials is crucial for ethical and practical reasons.
- Simon's two-stage designs are standard for phase II cancer trials.
Purpose of the Study:
- To propose a new adaptive two-stage design for phase II cancer trials.
- To improve upon existing adaptive designs like Banerjee and Tsiatis' (2006).
- To incorporate conditional type I error and conditional power constraints.
Main Methods:
- Building upon Simon's optimal two-stage design.
- Developing a new adaptive design contingent on first-stage results.
- Comparing the proposed design with Banerjee and Tsiatis' adaptive design.
Main Results:
- The proposed adaptive design offers a novel approach to sample size adjustment in phase II trials.
- Demonstrates a more intuitive sample size behavior compared to Banerjee and Tsiatis' design.
- Provides a framework for balancing trial efficiency and statistical rigor.
Conclusions:
- The new adaptive design enhances flexibility in phase II clinical trials.
- Offers a valuable alternative for optimizing cancer drug development pathways.
- Further research can explore its application in various oncological settings.
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