Some design issues in phase 2B vs phase 3 prevention trials for testing efficacy of products or concepts

Peter B Gilbert1

  • 1Vaccine Infectious Disease Institute, Fred Hutchinson Cancer Research Center and Department of Biostatistics, University of Washington, Seattle, WA 98109, USA. pgilbert@scharp.org

Statistics in Medicine
|April 27, 2010
PubMed

Insights

Determining the optimal size for initial vaccine efficacy trials is crucial. A decision-theoretic framework, considering multiple factors beyond power calculations, aids in selecting between Phase 2b and Phase 3 trial designs for preventive vaccines.

Area of Science:

  • Vaccinology
  • Clinical Trial Design
  • Infectious Disease Prevention

Background:

  • Preventive vaccine candidates require efficacy evaluation after demonstrating immunogenicity in Phase 2 trials.
  • No licensed vaccine currently exists for many infectious diseases, necessitating robust efficacy trials.
  • Selecting the optimal initial efficacy trial size (Phase 2b vs. Phase 3) is a critical decision.

Purpose of the Study:

  • To compare the expected utility of Phase 2b and Phase 3 prevention efficacy trials.
  • To inform the decision-making process for designing initial efficacy trials for candidate vaccines.
  • To propose a comprehensive framework for optimizing initial efficacy trial size.

Main Methods:

  • Utilized the HIV vaccine field as a case study.
  • Described distinguishing characteristics of Phase 2b and Phase 3 prevention efficacy trials.
  • Applied Pascal's decision-theoretic framework to compare trial types.

Main Results:

  • The decision-theoretic framework integrates multiple utilities: accuracy of conclusions, timeliness, precision of effect estimation, and resource expenditure.
  • This framework offers a more complete approach to selecting optimal efficacy trial size compared to traditional power calculations.
  • Phase 2b and Phase 3 trials have distinct roles, either contributing to licensure or advancing scientific concepts.

Conclusions:

  • The proposed decision-theoretic framework aids in selecting the optimal initial efficacy trial size.
  • Consideration of diverse factors beyond statistical power is essential for efficient trial design.
  • Informed trial design is critical for advancing vaccine development, particularly for diseases without existing licensed vaccines.

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