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

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

27
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
27
Protein Networks02:26

Protein Networks

3.9K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

83
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
83
Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Statistical Methods to Analyze Parametric Data: ANOVA01:12

Statistical Methods to Analyze Parametric Data: ANOVA

279
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
279
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

6.1K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.1K

You might also read

Related Articles

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

Sort by
Same author

Socioeconomic status, cardiovascular health and joint associations with incident cataract: a prospective study from UK Biobank.

The British journal of ophthalmology·2026
Same author

Spherical equivalent and visual acuity outcomes in the randomized, double-blind, placebo-controlled trial of bendazol eye drop atomization for slowing myopia progression in children.

Photodiagnosis and photodynamic therapy·2026
Same author

Surgical Techniques for the Virna Glaucoma Implant: A Low-Cost New Glaucoma Drainage Device.

Clinical & experimental ophthalmology·2026
Same author

Systematic review and risk factor analysis of post-vitrectomy silicone oil migration to the central nervous system.

World journal of experimental medicine·2026
Same author

Cost <i>vs</i> clinical utility on application of large language models in clinical practice: A double-edged sword.

World journal of gastrointestinal oncology·2026
Same author

Kaplan-Meier survival analysis of Mohs micrographic surgery with or without photodynamic therapy for locally advanced basal cell carcinoma.

Photodiagnosis and photodynamic therapy·2025

Related Experiment Video

Updated: Jun 4, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.3K

Understanding network meta-analysis.

Sunny Chi Lik Au1

  • 1Department of Ophthalmology, Tung Wah Eastern Hospital, Hong Kong 999077, China. kilihcua@gmail.com.

World Journal of Clinical Cases
|December 17, 2024
PubMed
Summary

Network meta-analysis (NMA) compares multiple treatments simultaneously using direct and indirect evidence. This method offers more precise comparisons than traditional pair-wise analyses for complex clinical questions.

Keywords:
AcademicJournalMeta-analysisMethodologyResearchSystematic review

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

989
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.2K

Related Experiment Videos

Last Updated: Jun 4, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.3K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

989
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.2K

Area of Science:

  • Clinical Epidemiology
  • Biostatistics

Background:

  • Non-steroidal anti-inflammatory drugs (NSAIDs) are used for juvenile idiopathic arthritis.
  • Traditional pair-wise meta-analyses are limited to direct comparisons between two interventions.
  • Network meta-analysis (NMA) offers a more comprehensive approach to comparing multiple treatments.

Purpose of the Study:

  • To introduce clinicians to the methodology and utility of network meta-analysis (NMA).
  • To explain how NMA can compare three or more interventions simultaneously.
  • To highlight the advantages of NMA over traditional pair-wise meta-analysis.

Main Methods:

  • NMA synthesizes direct and indirect evidence from a network of studies.
  • It involves systematic literature searches and bias assessment, similar to conventional meta-analysis.
  • Statistical analysis of pairwise comparisons across all interventions and outcomes is performed.

Main Results:

  • NMA can estimate relative treatment effects between any pair of interventions within the network.
  • It often yields more precise effect estimates than single direct or indirect analyses.
  • The certainty of evidence is evaluated on an outcome-specific basis.

Conclusions:

  • NMA is a powerful tool for comparing multiple interventions in clinical research.
  • It provides more robust and precise comparative effectiveness data.
  • While resource-intensive, NMA addresses broader clinical questions more effectively than pair-wise methods.