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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Trajectories and Influencing Factors of Depression in Patients with H-Type Hypertension-Related Ischemic Stroke: A Single-Center Longitudinal Study.

Patient preference and adherence·2026
Same author

Generative AI-assisted Bayesian-frequentist Hybrid Inference in Single-cell RNA Sequencing Analysis for Genes Associated with Alzheimer's Disease.

medRxiv : the preprint server for health sciences·2026
Same author

Enhanced doubly robust estimation in clinical trials accounting for intercurrent events.

Journal of biopharmaceutical statistics·2026
Same author

Effect of Arbuscular Mycorrhizal Fungi on the Growth and Cadmium Uptake of <i>Paspalum notatum</i> and <i>Lolium perenne</i>.

Journal of fungi (Basel, Switzerland)·2026
Same author

Effects of Powdered and Granular AMF on Maize Growth Under Low Fertilizer Conditions.

Journal of fungi (Basel, Switzerland)·2026
Same author

Enhanced doubly robust estimate with semiparametric models for causal inference of survival outcome.

The international journal of biostatistics·2025
Same journal

Comparing Adaptive Interventions under a General Sequential Multiple Assignment Randomized Trial Design via Multiple Comparisons with the Best.

Journal of statistical planning and inference·2026
Same journal

Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data.

Journal of statistical planning and inference·2026
Same journal

On semi-supervised estimation using exponential tilt mixture models.

Journal of statistical planning and inference·2025
Same journal

Regression-Assisted Bayesian Record Linkage for Causal Inference in Observational Studies with Covariates Spread Over Two Files.

Journal of statistical planning and inference·2024
Same journal

Efficient inference of parent-of-origin effect using case-control mother-child genotype data.

Journal of statistical planning and inference·2024
Same journal

Distributed eQTL analysis with auxiliary information.

Journal of statistical planning and inference·2024
See all related articles

Related Experiment Video

Updated: Jan 10, 2026

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.8K

Compound adaptive GPU design for clinical trials.

Ao Yuan1, Paul Bezandry, George Bonney

  • 1Howard University, Washington, DC 20059, USA.

Journal of Statistical Planning and Inference
|June 21, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new clinical trial design for comparing multiple treatments simultaneously. The compound adaptive generalized Pólya urn design optimizes patient allocation for assessing various treatment criteria and regimes.

More Related Videos

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

3.1K
Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
10:24

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

Published on: September 19, 2019

6.7K

Related Experiment Videos

Last Updated: Jan 10, 2026

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.8K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

3.1K
Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
10:24

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

Published on: September 19, 2019

6.7K

Area of Science:

  • Clinical Trials
  • Biostatistics
  • Experimental Design

Background:

  • Clinical trials often involve multiple competing treatments evaluated concurrently.
  • Patient allocation aims to assess treatment performance against optimality criteria while minimizing risks.
  • Evaluating multiple optimality criteria or regimes within a single trial presents allocation challenges.

Purpose of the Study:

  • To develop a novel patient allocation mechanism for clinical trials evaluating multiple treatments and criteria.
  • To optimize overall trial performance under combined criteria or regimes.
  • To investigate the properties of a new adaptive design for complex clinical trial scenarios.

Main Methods:

  • The study proposes a compound adaptive generalized Pólya urn design.
  • This design addresses the sequential allocation of patients to treatments.
  • Asymptotic properties of the proposed design are theoretically analyzed.

Main Results:

  • The compound adaptive generalized Pólya urn design offers a framework for simultaneous assessment of treatments and criteria.
  • It provides a method for optimizing patient allocation in complex trial settings.
  • Initial analysis of asymptotic properties is presented.

Conclusions:

  • The proposed compound adaptive generalized Pólya urn design is a viable approach for complex clinical trials.
  • This design facilitates the evaluation of multiple treatments and assessment criteria within a single study.
  • Further research into the practical application and detailed properties of this design is warranted.