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Updated: Jan 20, 2026

The Preparation of Electrohydrodynamic Bridges from Polar Dielectric Liquids
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Efficiency of bridging between related dose finding studies.

John O'Quigley1

  • 1Laboratoire de statistique théorique et appliquée, université Pierre-et-Marie-Curie (Paris-6), 4, place Jussieu, 75252 Paris cedex 05, France.

Comptes Rendus Mathematique
|August 31, 2019
PubMed
Summary

Bridging methods address heterogeneity in dose-finding studies by efficiently using information across populations to estimate the maximum tolerated dose (MTD). This approach is crucial for accurate MTD estimation in clinical trials.

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Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Pharmacometrics

Background:

  • Heterogeneity in dose-finding studies presents statistical challenges.
  • Bridging is a statistical problem closely linked to managing heterogeneity.
  • Efficient estimation of the maximum tolerated dose (MTD) requires addressing these challenges.

Purpose of the Study:

  • To explore the statistical problem of bridging in dose-finding studies.
  • To consider distinctive features of bridging for efficient MTD estimation.
  • To leverage information from one study in a second study context.

Main Methods:

  • Statistical modeling for bridging between two distinct populations.
  • Consideration of extensions to multiple populations.
  • Addressing challenges posed by typically misspecified working models.

Main Results:

  • The study outlines statistical approaches for bridging in dose-finding.
  • It highlights the importance of specific bridging features for MTD estimation.
  • Methods are presented for two populations, with extensions to more discussed.

Conclusions:

  • Bridging methods are essential for handling heterogeneity in dose-finding studies.
  • Efficient MTD estimation can be achieved by effectively utilizing cross-study information.
  • The proposed statistical framework accommodates the complexities of misspecified models.