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Related Concept Videos

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Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
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Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
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Understanding Research Methods: Up-and-down Designs for Dose-finding.

Assaf P Oron1, Michael J Souter2, Nancy Flournoy3

  • 1Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington.

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|July 12, 2022
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Summary
This summary is machine-generated.

Adaptive dose-finding designs, like the up-and-down method, are more effective for estimating benchmark doses (e.g., ED50) than traditional methods. This article clarifies up-and-down design properties and offers practical recommendations for accurate implementation.

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Area of Science:

  • Pharmacometrics
  • Biostatistics
  • Clinical Trial Design

Background:

  • Estimating benchmark doses, such as the ED50, is crucial for drug development and clinical practice.
  • Traditional methods often involve treating equal numbers of patients at fixed, equally spaced doses, which can be inefficient.
  • The up-and-down design is a popular adaptive dose-finding method, particularly in anesthesiology, but its understanding and implementation are often suboptimal.

Purpose of the Study:

  • To provide a comprehensive overview of the properties of up-and-down dose-finding designs.
  • To discuss recent methodologic advancements in adaptive dose-finding strategies.
  • To offer practical recommendations for the correct implementation of up-and-down designs in research.

Main Methods:

  • Review and synthesis of existing literature on up-and-down dose-finding designs.
  • Presentation of methodologic developments and statistical properties.
  • Illustration of design concepts and recommendations using simulated examples.

Main Results:

  • Adaptive dose-finding designs, specifically up-and-down methods, offer enhanced efficiency in estimating target benchmark doses compared to standard approaches.
  • Despite widespread use, a lack of comprehensive, up-to-date reference material leads to common implementation errors.
  • The article clarifies the statistical properties and provides practical guidance for improved application of these designs.

Conclusions:

  • Up-and-down designs represent a more effective strategy for dose estimation than traditional fixed-dose methods.
  • Addressing the knowledge gaps and providing clear recommendations can improve the accurate and efficient application of up-and-down designs.
  • Further research and accessible resources are needed to ensure optimal utilization of adaptive dose-finding methods in clinical research.