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

The Z-Scheme of Electron Transport in Photosynthesis01:34

The Z-Scheme of Electron Transport in Photosynthesis

13.9K
The light reactions of photosynthesis assume a linear flow of electrons from water to NADP+. During this process, light energy drives the splitting of water molecules to produce oxygen. However, oxidation of water molecules is a thermodynamically unfavorable reaction and requires a strong oxidizing agent. This is accomplished by the first product of light reactions: oxidized P680 (or P680+), the most powerful oxidizing agent known in biology. The oxidized P680 that acquires an electron from the...
13.9K
Qualitative Analysis03:46

Qualitative Analysis

24.8K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
24.8K
Dimensional Analysis03:40

Dimensional Analysis

65.1K
Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...
65.1K
Dimensional Analysis01:27

Dimensional Analysis

683
Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...
683
Pedigree Analysis01:35

Pedigree Analysis

89.8K
Overview
89.8K
Epistasis Analysis01:09

Epistasis Analysis

5.8K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Shorebird loss increases soil CO<sub>2</sub> emissions in coastal wetlands under restoration.

Fundamental research·2026
Same author

Evidence for an Electronically Driven Charge Density Wave in a 1D Metallic MOF.

ACS central science·2026
Same author

Redox-Active Doubly Boron-Doped Indenofluorenes: Isomer-Directed Access to Open- and Closed-Shell Electronic States Induces Strong Near-Infrared Activity.

Journal of the American Chemical Society·2026
Same author

Mammalian-like steroidogenesis in plants gives rise to endocrine-mimetic cardenolides.

Science advances·2026
Same author

Sterol trafficking in yeast studied by one- and two-photon live-cell imaging of an intrinsically fluorescent ergosterol analog.

Methods and applications in fluorescence·2026
Same author

The risk of psychosis associated with cannabis use by people with attention-deficit hyperactivity disorder: A systematic review.

Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists·2026

Related Experiment Video

Updated: Feb 11, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

18.3K

A Bayesian subgroup analysis with a zero-enriched Polya Urn scheme.

S Sivaganesan1, Purushottam W Laud, Peter Müller

  • 1Department of Mathematical Science, University of Cincinnati, Cincinnati, OH 45221-0025, U.S.A. sivagas@ucmail.uc.edu

Statistics in Medicine
|January 13, 2011
PubMed
Summary
This summary is machine-generated.

This study presents a novel Bayesian approach for identifying subgroup effects in clinical trials. It uses model selection and posterior probabilities to determine if treatment effects differ between patient subgroups, ensuring desired error rates.

More Related Videos

Preparation of Mitochondrial Enriched Fractions for Metabolic Analysis in Drosophila
08:22

Preparation of Mitochondrial Enriched Fractions for Metabolic Analysis in Drosophila

Published on: September 30, 2015

9.9K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

Related Experiment Videos

Last Updated: Feb 11, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

18.3K
Preparation of Mitochondrial Enriched Fractions for Metabolic Analysis in Drosophila
08:22

Preparation of Mitochondrial Enriched Fractions for Metabolic Analysis in Drosophila

Published on: September 30, 2015

9.9K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

Area of Science:

  • Clinical Trials
  • Biostatistics
  • Statistical Inference

Background:

  • Identifying treatment effects in specific patient subgroups is crucial for personalized medicine.
  • Traditional methods for subgroup analysis can be prone to false discoveries.

Purpose of the Study:

  • To introduce a new Bayesian approach for robust subgroup effect inference in clinical trials.
  • To establish a method for reporting subgroup effects based on predefined thresholds.

Main Methods:

  • Utilized Bayesian model selection to evaluate different subgroup hypotheses.
  • Defined separate model classes for each covariate of interest.
  • Applied a threshold on posterior model probabilities to determine subgroup effect significance.
  • Computed frequentist operating characteristics to ensure error control.

Main Results:

  • The proposed method allows for the identification of subgroup effects using posterior model probabilities.
  • Adjusting the posterior probability threshold enables control over error rates.
  • The approach integrates Bayesian inference with frequentist operating characteristics.

Conclusions:

  • The novel Bayesian model selection approach provides a statistically sound framework for subgroup analysis in clinical trials.
  • This method enhances the reliability of identifying and reporting subgroup treatment effects.
  • It offers a transparent and auditable process for subgroup inference.