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Promising zone two-stage design for a single-arm study with binary outcome.

Guogen Shan1

  • 1Department of Biostatistics, University of Florida, Gainesville, FL, USA.

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Summary

This study introduces two efficient adaptive clinical trial designs for drug development. These novel methods, using conditional power and promising zone strategies, preserve error rates and are computationally feasible for real-world application.

Keywords:
Adaptive designbinary responseconditional poweroptimal two-stage designpromising zone designsingle-arm study

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Area of Science:

  • Clinical Trials
  • Biostatistics
  • Drug Development

Background:

  • Adaptive designs are crucial for modern clinical trials assessing new drugs.
  • Existing adaptive designs, while effective, can be computationally intensive.
  • Single-arm studies with binary outcomes require efficient adaptive strategies.

Purpose of the Study:

  • To develop two novel adaptive designs for single-arm clinical trials with binary outcomes.
  • To improve computational efficiency compared to existing numerical search algorithms.
  • To ensure preservation of type I and type II error rates.

Main Methods:

  • Developed an adaptive design based on the conditional power approach.
  • Developed a second adaptive design utilizing a promising zone strategy.
  • Theoretically proved the monotonic property for both proposed designs, ensuring decreasing sample size with increasing response.

Main Results:

  • The proposed adaptive designs are computationally efficient, avoiding intensive calculations.
  • Both designs successfully preserve the desired type I and type II error rates.
  • The monotonic property is theoretically confirmed for both novel adaptive designs.

Conclusions:

  • The developed adaptive designs offer practical and efficient solutions for clinical trials.
  • These designs are suitable for real-world application with limited computing resources.
  • The promising zone and conditional power approaches provide robust adaptive trial methodologies.