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Published on: September 20, 2019
Benefits, challenges and obstacles of adaptive clinical trial designs
Shein-Chung Chow1, Ralph Corey
1Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA. sheinchung.chow@duke.edu
Abstract:
In recent years, the use of adaptive design methods in pharmaceutical/clinical research and development has become popular due to its flexibility and efficiency for identifying potential signals of clinical benefit of the test treatment under investigation. The flexibility and efficiency, however, increase the risk of operational biases with resulting decrease in the accuracy and reliability for assessing the treatment effect of the test treatment under investigation. In its recent draft guidance, the United States Food and Drug Administration (FDA) expresses regulatory concern of controlling the overall type I error rate at a pre-specified level of significance for a clinical trial utilizing adaptive design. The FDA classifies adaptive designs into categories of well-understood and less well-understood designs. For those less well-understood adaptive designs such as adaptive dose finding designs and two-stage phase I/II (or phase II/III) seamless adaptive designs, statistical methods are not well established and hence should be used with caution. In practice, misuse of adaptive design methods in clinical trials is a concern to both clinical scientists and regulatory agencies. It is suggested that the escalating momentum for the use of adaptive design methods in clinical trials be slowed in order to allow time for development of appropriate statistical methodologies.
Insights
Adaptive designs offer flexibility in clinical trials but risk bias and affect reliability. Regulatory bodies like the FDA are concerned about maintaining statistical integrity, especially with less understood adaptive methods.
Area of Science:
- Clinical Trials
- Biostatistics
- Pharmaceutical Research
Background:
- Adaptive design methods are increasingly used in clinical research for flexibility and efficiency.
- However, these designs can introduce operational biases, potentially compromising accuracy and reliability in treatment effect assessment.
Purpose of the Study:
- To address the growing popularity and potential risks associated with adaptive design methods in clinical trials.
- To highlight regulatory concerns regarding the control of type I error rates in adaptive clinical trials.
Main Methods:
- Discussion of adaptive design classifications by regulatory agencies, distinguishing between well-understood and less well-understood types.
- Focus on specific less well-understood designs, including adaptive dose-finding and seamless phase I/II or II/III designs.
Main Results:
- Adaptive designs, while efficient, increase the risk of operational biases, impacting the accuracy of treatment effect evaluation.
- Less well-understood adaptive designs lack established statistical methodologies, necessitating cautious application.
Conclusions:
- Misuse of adaptive design methods in clinical trials is a significant concern for researchers and regulatory bodies.
- A call to moderate the adoption of adaptive designs to allow for the development of robust statistical methodologies.
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