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

The confidence profile method: a Bayesian method for assessing health technologies.

D M Eddy

    Operations Research
    |February 8, 1989
    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

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

    International journal of obesity (2005)·2008
    Same author

    The use of evidence and cost effectiveness by the courts: how can it help improve health care?

    Journal of health politics, policy and law·2001
    Same author

    Enhancing performance measurement: NCQA's road map for a health information framework. National Committee for Quality Assurance.

    JAMA·1999
    Same author

    Who should determine when health care is medically necessary?

    The New England journal of medicine·1999
    Same author

    Performance measurement: problems and solutions.

    Health affairs (Project Hope)·1998
    Same author

    Breast cancer screening in women younger than 50 years of age: what's next?

    Annals of internal medicine·1997

    The Confidence Profile Method, a Bayesian approach, combines evidence to estimate health technology effects. It adjusts for biases in various study designs to provide reliable parameter estimates for health outcomes.

    Area of Science:

    • Biostatistics
    • Health Economics
    • Evidence Synthesis

    Background:

    • Estimating the effects of health technologies is crucial for decision-making.
    • Existing methods may not adequately address biases and combine diverse evidence effectively.

    Purpose of the Study:

    • To introduce and illustrate the Confidence Profile Method (CPM) for evidence synthesis.
    • To demonstrate how CPM adjusts for biases and combines multiple data sources.

    Main Methods:

    • CPM utilizes Bayesian inference, employing likelihood functions to represent evidence.
    • It incorporates bias adjustments by deriving "adjusted" likelihood functions.
    • Applies Bayes' formula iteratively to combine evidence from various study designs.

    Related Experiment Videos

    Main Results:

    • Likelihood functions are available for prospective and case-control studies.
    • CPM can account for biases like crossover, measurement error, and selection bias.
    • The method was illustrated using thrombolytic agents' effect on heart attack survival.

    Conclusions:

    • The Confidence Profile Method offers a robust Bayesian framework for evidence synthesis.
    • It enables the adjustment for and incorporation of various biases in parameter estimation.
    • CPM provides a flexible tool for estimating health technology effects on health outcomes.