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Simple benchmark for complex dose finding studies.

Ying Kuen Cheung1

  • 1Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York 10032, U.S.A.

Biometrics
|February 28, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a novel benchmark for evaluating dose-finding methods in clinical trials. This accuracy upper limit helps assess the performance and calibration of complex algorithms used in early-phase drug development.

Keywords:
Combination therapyEfficacy-toxicity tradeoffMultiple toxicitiesPhase I trialsPhase I/II trialsUtility scores

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Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Pharmacometrics

Background:

  • Early phase clinical studies aim to identify optimal drug doses.
  • Modern dose-finding methods are complex and require robust evaluation tools.
  • Assessing the performance and calibration of adaptive dose-finding algorithms is crucial.

Purpose of the Study:

  • To propose a simple, nonparametric technique for establishing an accuracy upper limit (benchmark) for dose-finding methods.
  • To provide a diagnostic tool for evaluating the plausibility of simulated performance in dose-finding algorithms.
  • To assess the adequacy and calibration of dose-finding methods in various clinical trial settings.

Main Methods:

  • Developed a nonparametric optimal benchmark for dose-finding accuracy.
  • Demonstrated the benchmark as a practical accuracy upper bound for model-based methods.
  • Applied the technique to phase I (toxicity) and phase I/II (toxicity and efficacy) trial designs.

Main Results:

  • The proposed benchmark provides a practical upper limit for dose-finding accuracy.
  • The technique is illustrated with examples from the literature, including multiple toxicities and combined efficacy-toxicity endpoints.
  • Comparison with the benchmark allows for initial assessments of method calibration and sensitivity to dose-outcome relationships.

Conclusions:

  • The developed benchmark offers a valuable tool for assessing dose-finding method performance.
  • This technique aids in ensuring the reliability and adequacy of algorithms used in early-phase clinical trials.
  • The benchmark facilitates quick evaluations of dose-finding methods' calibration and sensitivity.