Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Bivariate isotonic design for dose-finding with ordered groups.

Anastasia Ivanova1, Kai Wang

  • 1Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7420, USA. aivanova@bios.unc.edu

Statistics in Medicine
|October 13, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Competing-triggering effect models for multitype recurrent event data.

Biometrics·2026
Same author

Dynamic borrowing methods for basket trials with order restrictions.

Journal of biopharmaceutical statistics·2026
Same author

PrecISE-a biomarker-stratified adaptive trial of 5 interventions in severe asthma: Final protocol and the baseline cohort.

The Journal of allergy and clinical immunology·2026
Same author

Design characteristics of sequential multiple assignment randomised trials (SMARTs) for human health: a scoping review of studies between 2009 and 2024.

BMJ open·2025
Same author

Prediction of transition probabilities in multi-state models with nested case-control data.

Biometrics·2025
Same author

Dynamic prediction by landmarking with data from cohort subsampling designs.

Statistical methods in medical research·2025
Same journal

A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

Statistics in medicine·2026
Same journal

Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

Statistics in medicine·2026
Same journal

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

Statistics in medicine·2026
Same journal

Beyond Fixed Thresholds: Optimizing Summaries of Wearable Device Data via Piecewise Linearization of Quantile Functions.

Statistics in medicine·2026
Same journal

A Causal Framework for Evaluating the Total Effect of Strategies Aiming to Expand Screening and to Improve Outcomes.

Statistics in medicine·2026
Same journal

Causal Effects on Nonterminal Event Time With Application to Antibiotic Usage and Future Resistance.

Statistics in medicine·2026
See all related articles

This study introduces a new dose-finding design for stratified populations with varying toxicity risks. It aims to identify the maximally tolerated dose for each group, improving patient safety in clinical trials.

Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Pharmacology

Background:

  • Dose-finding studies are crucial for determining safe and effective drug dosages.
  • Stratifying patients into subgroups with different toxicity profiles is essential for personalized medicine.
  • Existing methods may not adequately address stratified dose-finding challenges.

Purpose of the Study:

  • To propose a novel non-parametric dose-finding design for stratified populations.
  • To estimate toxicity using bivariate isotonic regression.
  • To compare the proposed design against the two-sample continual reassessment method.

Main Methods:

  • A non-parametric statistical design was developed.
  • Bivariate isotonic regression was employed for toxicity estimation.

Related Experiment Videos

  • The new design was evaluated through comparative analysis.

    • Main Results:

    • The proposed non-parametric design effectively handles stratified populations.
    • Bivariate isotonic regression provides robust toxicity estimates.
    • The new design shows promise compared to existing methods.

    Conclusions:

    • The novel dose-finding design is suitable for stratified populations with differential toxicity.
    • This approach enhances the precision and safety of dose escalation in clinical trials.
    • Further validation in diverse clinical settings is warranted.