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Bias induced by adaptive dose-finding designs.

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Summary
This summary is machine-generated.

Adaptive dose-finding methods, like Continual Reassessment Methods, can introduce bias in estimating response rates. This bias, positive above and negative below the target dose, can be mitigated using shrinkage estimation.

Keywords:
Bernoulli regression analysiscontinual reassessment methodinference following stochastic processesinterval designsphase I clinical trialsup-and-down procedures

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Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Pharmacometrics

Background:

  • Maximum likelihood estimators are known to exhibit bias in statistical literature.
  • Adaptive dose-finding designs are increasingly used in clinical trials for efficiency.

Purpose of the Study:

  • To demonstrate that adaptive dose-finding procedures inherently induce bias.
  • To provide an explicit formula for the bias of observed response rates in such designs.
  • To investigate the implications of this bias and propose mitigation strategies.

Main Methods:

  • Analysis of adaptive dose-finding procedures with Bernoulli responses.
  • Derivation of an explicit mathematical formula for bias in observed response rates.
  • Simulation and illustration of bias patterns for designs targeting a specific quantile.

Main Results:

  • Adaptive dose-finding procedures (Continual Reassessment Methods, Up-and-Down, Interval Designs) were shown to induce bias.
  • Bias tends to be positive above the target dose and negative below it for designs concentrating dose allocations.
  • This bias property in dose-finding designs appears to be a novel finding.

Conclusions:

  • Adaptive dose-finding designs introduce a previously unrecognized bias in response rate estimation.
  • Understanding and quantifying this bias is crucial for accurate dose selection in clinical trials.
  • A simple shrinkage formula is proposed to mitigate bias and improve estimation accuracy, especially away from the target dose.