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

An introduction to a Bayesian method for meta-analysis: The confidence profile method.

D M Eddy1, V Hasselblad, R Shachter

  • 1Center for Health Policy, Duke University, Durham, North Carolina 27706.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|January 1, 1990
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

Effect of nesiritide in patients with acute decompensated heart failure.

The New England journal of medicine·2011
Same author

Racial differences in blood pressure response to angiotensin-converting enzyme inhibitors in children: a meta-analysis.

Clinical pharmacology and therapeutics·2008
Same author

The metabolic syndrome and cardiovascular risk: implications for clinical practice.

International journal of obesity (2005)·2008
Same author

Association of intradialytic blood pressure changes with hospitalization and mortality rates in prevalent ESRD patients.

Kidney international·2007
Same author

Initial experience with factor-Xa inhibition in percutaneous coronary intervention: the XaNADU-PCI Pilot.

Journal of thrombosis and haemostasis : JTH·2004
Same author

Time-based risk assessment after myocardial infarction. Implications for timing of discharge and applications to medical decision-making.

European heart journal·2003
Same journal

Flexible Survival Extrapolation with Blended Hazards: Accounting for Treatment Effect Waning in Health Technology Assessment.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

A Microsimulation Model for Chronic Kidney Disease Progression in Type 2 Diabetes Patients in the United States: Michigan Model for Diabetes-Chronic Kidney Disease Model.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

Cardiovascular Risk Estimation and Statin Adherence: A Historical Cohort Study.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

Taste or Scale? Methodological Approach to Health Preferences Comparison across Groups.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

Mind the Gap: Impact of New Labels on Public Perceptions and Calculated Risk of Adverse Outcomes after a Melanoma In Situ Diagnosis-A Secondary Analysis of an Online Randomized Experiment.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

A Metamodel-Based General-Purpose Autocalibration Tool for Simulation Models.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
See all related articles

The Confidence Profile Method is a novel Bayesian approach for technology assessment. It quantifies uncertainty across diverse evidence, biases, and study designs, yielding comprehensive posterior distributions.

Area of Science:

  • Bayesian statistics
  • Technology assessment
  • Evidence synthesis

Background:

  • Assessing technologies involves complex evidence with varied designs, outcomes, and biases.
  • Existing methods may struggle to integrate diverse and uncertain information.
  • A comprehensive approach is needed to handle heterogeneity and bias.

Purpose of the Study:

  • Introduce the Confidence Profile Method (CPM) as a new Bayesian framework.
  • Develop a method to assess technologies with complex and uncertain evidence.
  • Provide a robust tool for quantitative evidence synthesis.

Main Methods:

  • The Confidence Profile Method (CPM) is a Bayesian statistical approach.
  • It accommodates various experimental designs, outcomes, effect measures, and biases.

Related Experiment Videos

  • The method handles indirect evidence, technology families, and parameter variability.

    • Main Results:

    • CPM yields a posterior distribution for the primary parameter of interest.
    • It also provides posterior distributions for other model parameters.
    • A covariance matrix for all model parameters is generated, reflecting uncertainty.

    Conclusions:

    • The Confidence Profile Method offers a unified Bayesian framework for technology assessment.
    • It effectively incorporates diverse sources of uncertainty, including biases and indirect evidence.
    • CPM provides a comprehensive quantification of uncertainty in technology evaluations.