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

Methods for exploring heterogeneity in meta-analysis.

F Song1, T A Sheldon, A J Sutton

  • 1University of Birmingham, U.K.

Evaluation & the Health Professions
|August 29, 2001
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

Enamel Caries Detection and Diagnosis: An Analysis of Systematic Reviews.

Journal of dental research·2021
Same author

Biological variation of cardiac troponins in chronic kidney disease.

Annals of clinical biochemistry·2020
Same author

Influence of El Niño on atmospheric CO<sub>2</sub> over the tropical Pacific Ocean: Findings from NASA's OCO-2 mission.

Science (New York, N.Y.)·2017
Same author

Cost-effectiveness of emergency versus delayed laparoscopic cholecystectomy for acute gallbladder pathology.

The British journal of surgery·2016
Same author

Cost-utility analysis of operative versus non-operative treatment for colorectal liver metastases.

The British journal of surgery·2015
Same author

Sentinel lymph node biopsy in vulval cancer: systematic review and meta-analysis.

British journal of cancer·2014
Same journal

The "Twilight Zone" Is a Danger Zone: Why the Occupational-Clinical Divide in Burnout Assessment Is a False Dichotomy.

Evaluation & the health professions·2026
Same journal

Evaluating Equity in AI-Supported Functional Assessment: Agreement Between Clinician Judgment and Digital Metrics in Stroke Rehabilitation.

Evaluation & the health professions·2026
Same journal

Psychometric Properties of the Arabic Version of the PROMIS Sleep Disturbance 8b Short Form Among Nurses.

Evaluation & the health professions·2026
Same journal

Commentary: Systemic Inequities in Japan's Technical Intern Training Program (TITP): Health, Labor, and Legal Vulnerabilities of Foreign Trainees.

Evaluation & the health professions·2026
Same journal

Application of Patient-Reported Outcome Measurements in Traditional Chinese Medicine Clinical Trials for Musculoskeletal Disorders in China: A Registry-Based Analysis.

Evaluation & the health professions·2026
Same journal

Divergent Socioeconomic Pathways to Biologically Uncontrolled Diabetes by Gender: A Bayesian Analysis of NHANES 2021-2023.

Evaluation & the health professions·2026
See all related articles

Investigating heterogeneity in meta-analysis is crucial when study results vary significantly. Exploring these differences can guide future research and refine treatment applications for better patient outcomes.

Area of Science:

  • Biostatistics
  • Evidence Synthesis
  • Clinical Research Methodology

Background:

  • Meta-analysis combines results from multiple studies.
  • Significant variation (heterogeneity) between study results necessitates further investigation beyond chance.
  • Understanding heterogeneity sources is key for accurate interpretation and application of findings.

Purpose of the Study:

  • To review methods for exploring heterogeneity in meta-analysis.
  • To discuss statistical and visual approaches for identifying and understanding variation in study results.
  • To highlight the importance of investigating heterogeneity for guiding future research and clinical practice.

Main Methods:

  • Review of statistical tests for homogeneity.
  • Exploration of visual methods for displaying primary study results.

Related Experiment Videos

  • Discussion of techniques for reducing and investigating sources of heterogeneity.
  • Identification of moderator variables and effect modifiers.

    • Main Results:

    • Heterogeneity investigation is inherently exploratory and requires cautious interpretation.
    • Methods exist to systematically explore variations in meta-analysis results.
    • Identifying sources of heterogeneity can provide valuable insights into treatment effectiveness and application.

    Conclusions:

    • Careful investigation of heterogeneity offers a secondary level of evidence.
    • Understanding heterogeneity can suggest directions for future research.
    • Analysis of heterogeneity may reveal differential treatment benefits or optimal intervention strategies.