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

Bayesian methods in meta-analysis and evidence synthesis.

A J Sutton1, K R Abrams

  • 1Department of Epidemiology and Public Health, University of Leicester, UK. ajs22@le.ac.uk

Statistical Methods in Medical Research
|August 9, 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

Correction: Developing a Natural History Model for Duchenne Muscular Dystrophy.

PharmacoEconomics - open·2024
Same author

Developing a Natural History Model for Duchenne Muscular Dystrophy.

PharmacoEconomics - open·2023
Same author

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

Journal of dental research·2021
Same author

Jointly modelling longitudinally measured urinary human chorionic gonadotrophin and early pregnancy outcomes.

Scientific reports·2020
Same author

Biological variation of cardiac troponins in chronic kidney disease.

Annals of clinical biochemistry·2020
Same author

Assessing causal treatment effect estimation when using large observational datasets.

BMC medical research methodology·2019
Same journal

Modeling treatment effects on absorbing outcomes in clinical trials: Leveraging longitudinal and ordinal data for efficiency gains.

Statistical methods in medical research·2026
Same journal

A joint model for a longitudinal outcome and a progressive multistate model under a mixed observation scheme.

Statistical methods in medical research·2026
Same journal

Efficient semi-supervised estimation of optimal individualized treatment regimes with survival outcome.

Statistical methods in medical research·2026
Same journal

Asymptotic online FWER control for dependent test statistics.

Statistical methods in medical research·2026
Same journal

Regression analysis of misclassified current status data with potentially unknown test accuracy.

Statistical methods in medical research·2026
Same journal

Bayesian multivariate linear mixed-effects models with varied association structures.

Statistical methods in medical research·2026
See all related articles

Bayesian methods offer advantages for meta-analysis in evidence-based healthcare. These statistical approaches fully account for parameter uncertainty and incorporate additional information for complex scenarios.

Area of Science:

  • Medical Statistics
  • Evidence-Based Healthcare

Background:

  • Meta-analysis use has surged, driven by evidence-based healthcare.
  • Bayesian methods are increasingly adopted in medical statistics.

Purpose of the Study:

  • Review the application of Bayesian methods in meta-analysis.
  • Highlight the advantages of the Bayesian approach over frequentist methods.

Main Methods:

  • Discuss Bayesian models used in meta-analysis.
  • Illustrate methods with a meta-analysis on electronic fetal heart rate monitoring and perinatal mortality.

Main Results:

  • Bayesian approach allows full parameter uncertainty.
  • Enables inclusion of previously excluded pertinent information.

Related Experiment Videos

  • Facilitates extension to more complex, common scenarios.

    • Conclusions:

    • Bayesian methods provide a flexible and comprehensive framework for meta-analysis.
    • These methods enhance the analysis of complex medical evidence.