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

Two-sample continual reassessment method.

J O'Quigley1, L Z Shen, A Gamst

  • 1Department of Mathematics, University of California, San Diego, La Jolla 92093, USA.

Journal of Biopharmaceutical Statistics
|March 26, 1999
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

[Analysis of serious adverse events following immunization in Zhejiang Province from 2015 to 2024].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2026
Same author

[The protective effect of interleukin-5 in septic mice].

Zhonghua nei ke za zhi·2019
Same author

[Post-marketing observation on safety of inactivated enterovirus A71 vaccine (human diploid cell)].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2019
Same author

[Post-marketing safety analysis of inactivated enterovirus A71 vaccines].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2019
Same author

[Clinicopathologic characteristics of 64 patients with AFP-producing gastric cancer].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2017
Same author

Bone marrow fat content is correlated with hepatic fat content in paediatric non-alcoholic fatty liver disease.

Clinical radiology·2017
Same journal

Correction.

Journal of biopharmaceutical statistics·2026
Same journal

Leveraging external controls in clinical trials: estimands, estimation, assumptions.

Journal of biopharmaceutical statistics·2026
Same journal

Special issue of nonclinical statistics in regulatory applications guest editors' notes.

Journal of biopharmaceutical statistics·2026
Same journal

Comparison of flexible parametric modeling and nonparametric methods to estimate restricted mean survival time: A simulation study.

Journal of biopharmaceutical statistics·2026
Same journal

Simulated treatment comparisons with jackknife pseudo values for estimating population-adjusted marginal treatment effects.

Journal of biopharmaceutical statistics·2026
Same journal

Sample sizes for randomized controlled trials utilizing Bayesian response adaptive randomization for continuous outcomes.

Journal of biopharmaceutical statistics·2026
See all related articles

This study extends the continual reassessment method (CRM) for phase I trials to accommodate two patient groups. The two-sample CRM offers optimal dose-finding when groups differ but share characteristics, improving patient safety.

Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Pharmacology

Background:

  • Phase I clinical trials aim to find the maximum tolerated dose (MTD).
  • Traditional methods often treat patient populations as homogenous.
  • Adapting dose-finding methods for heterogeneous patient groups is crucial for safety and efficacy.

Purpose of the Study:

  • To extend the continual reassessment method (CRM) for phase I dose-finding studies involving two distinct patient groups.
  • To evaluate a novel two-sample CRM that models relationships between dose-toxicity curves of two groups.
  • To compare the performance of the two-sample CRM against single-sample CRM applied separately or to pooled data.

Main Methods:

  • Developed a bivariate CRM incorporating a specified relationship between dose-toxicity curves for two patient groups.

Related Experiment Videos

  • Employed maximum likelihood estimation for the bivariate model.
  • Conducted extensive simulations under various model misspecifications to assess performance.
  • Provided asymptotic results to support simulation findings.
  • Main Results:

    • The two-sample CRM performs best when patient groups are different but share some characteristics.
    • When groups are highly dissimilar, separate single-sample CRMs offer comparable finite-sample performance with better asymptotic efficiency.
    • Pooling data (ignoring heterogeneity) is optimal only when groups are truly homogeneous.
    • The two-sample approach is particularly beneficial when subgroup sizes are small.

    Conclusions:

    • The proposed two-sample CRM effectively adapts dose-finding for two-group studies.
    • The method provides a flexible and robust approach to MTD determination in heterogeneous populations.
    • Choosing the appropriate method (two-sample, separate single-sample, or pooled) depends on the degree of patient heterogeneity.