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

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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