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

Methods of Medium Optimization01:28

Methods of Medium Optimization

1
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
1
Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

449
Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
449
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.3K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.3K
Experimental Designs01:16

Experimental Designs

18.5K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
18.5K
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

358
Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
358

You might also read

Related Articles

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

Sort by
Same author

Structural Variation Sequencing of 26 Amniotic Fluid Samples With Partial Gene Duplications and Postnatal Follow-Up of the Fetuses.

Prenatal diagnosis·2026
Same author

Engineered Lipid Nanoparticles with Promoted Endosomal Escape and R283S-Mediated Stimulator of Interferon Genes (STING) Activation for Pancreatic Cancer Immunotherapy.

Pharmaceutics·2026
Same author

Dual-responsive polypyridyl Ru(II)-scaffolded hydrogel for trinitarian tumor therapy activated by mono-wavelength photo-irradiation.

Journal of nanobiotechnology·2026
Same author

Ratiometric Fluorescence and Smartphone-Assisted Visual Assay of Tetracycline and Levofloxacin Based on Dual-Emission Carbon Dots.

Luminescence : the journal of biological and chemical luminescence·2026
Same author

Dietary sublancin or oregano essential oil enhances growth and immunity in goat kids via modulating colonic microbiota and bile acids.

Animal nutrition (Zhongguo xu mu shou yi xue hui)·2026
Same author

Dosimetric comparison of high dose rate interstitial brachytherapy and stereotactic body radiotherapy as alternative treatment methods for advanced-stage cervical cancer.

Biomedical physics & engineering express·2026

Related Experiment Video

Updated: Mar 22, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K

MIDAS: a practical Bayesian design for platform trials with molecularly targeted agents.

Ying Yuan1, Beibei Guo2, Mark Munsell1

  • 1Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, U.S.A.

Statistics in Medicine
|April 27, 2016
PubMed
Summary

The multi-candidate iterative design with adaptive selection (MIDAS) offers an efficient Bayesian approach for evaluating numerous cancer therapies. This novel platform design improves the identification of effective treatments and streamlines clinical trials.

Keywords:
Bayesian adaptive designPhase II trialsplatform designplatform trials

More Related Videos

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

792
Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

8.1K

Related Experiment Videos

Last Updated: Mar 22, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

792
Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

8.1K

Area of Science:

  • Oncology
  • Clinical Trial Design
  • Biostatistics

Background:

  • The rise of novel cancer therapies necessitates efficient clinical trial designs.
  • Traditional phase II designs are inadequate for evaluating multiple agents simultaneously.
  • There is a need for adaptive platform designs to accelerate drug development.

Purpose of the Study:

  • To introduce and evaluate the Multi-Candidate Iterative Design with Adaptive Selection (MIDAS) Bayesian phase II platform.
  • To demonstrate MIDAS's efficiency in screening and selecting promising cancer therapeutic agents.
  • To compare MIDAS against conventional trial designs.

Main Methods:

  • MIDAS employs adaptive randomization to a control arm and multiple experimental arms.
  • Inefficacious or toxic agents are adaptively dropped, while promising agents are advanced.
  • New agents can be introduced as arms become available, ensuring continuous screening.
  • Bayesian statistical methods are used for adaptive decision-making.

Main Results:

  • Simulation studies show MIDAS significantly outperforms conventional approaches.
  • MIDAS demonstrates a higher probability of identifying promising agents.
  • MIDAS is more effective at dropping futile agents compared to traditional methods.
  • The design streamlines trial conduct with a single master protocol.

Conclusions:

  • MIDAS provides a highly efficient and adaptive platform for phase II cancer clinical trials.
  • The design accelerates the identification and development of novel cancer therapeutics.
  • MIDAS reduces the overhead burden associated with clinical trial management.