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Related Experiment Videos

A Bayesian dose finding design for dual endpoint phase I trials.

Yee-Chong Loke1, Say-Beng Tan, YiYu Cai

  • 1Divison of Clinical Trials & Epidemiological Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610, Singapore.

Statistics in Medicine
|July 14, 2005
PubMed
Summary
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This study introduces a new weighted design for early clinical trials to find the optimal drug dose, balancing efficacy and toxicity using minimal subjects. The method maximizes expected utility to guide dose selection efficiently.

Area of Science:

  • Clinical Trials
  • Biostatistics
  • Pharmacology

Background:

  • Drug development requires identifying optimal doses for efficacy and safety.
  • Early phase clinical trials are crucial for dose selection before larger studies.
  • Current dose-finding methods may not always efficiently balance efficacy and toxicity.

Purpose of the Study:

  • To propose a novel dose-finding weighted design for early clinical trials.
  • To determine the optimal dose based on both efficacy and toxicity.
  • To minimize the number of subjects required for dose selection.

Main Methods:

  • A weighted design incorporating a decision table with utility values for each outcome.
  • Utilizing a Dirichlet prior distribution.

Related Experiment Videos

  • Maximizing expected utility under the posterior distribution at each trial stage.

    • Main Results:

    • The proposed design effectively identifies optimal doses by balancing efficacy and toxicity.
    • Demonstration of how the design influences optimal dose selection across various scenarios.
    • Comparison of the proposed design's properties with a standard dose-finding approach.

    Conclusions:

    • The weighted design offers an efficient approach to dose-finding in early clinical trials.
    • This method aids in selecting the optimal dose for subsequent studies.
    • The design provides a robust framework for balancing therapeutic benefit and potential harm.