Skip to Main Content
ADVERTISEMENT
SCROLL TO CONTINUE WITH CONTENT



Property Value
Status
Version
Ad File
Disable Ads Flag
Environment
Moat Init
Moat Ready
Contextual Ready
Contextual URL
Contextual Initial Segments
Contextual Used Segments
AdUnit
SubAdUnit
Custom Targeting
Ad Events
Invalid Ad Sizes
Advertisement
Close
  • Home
  • Articles and Issues
    • Back
    • Articles in Press
    • Current Issue
    • List of Issues
    • Supplements
  • Collections
  • For Authors
    • Back
    • About Open Access 
    • Author Information
    • Permissions 
    • Researcher Academy 
    • Submit Manuscript 
  • Journal Info
    • Back
    • About Open Access 
    • About the Journal
    • Abstracting/Indexing
    • Career Opportunities 
    • Contact Information
    • Editorial Board
    • Info for Advertisers 
    • Info for Authors and Readers 
    • Pricing
    • New Content Alerts
  • Subscribe
  • More Periodicals
    • Back
    • Find a Periodical
    • Go to Product Catalog 
Advanced searchSave search

Please enter a term before submitting your search.

Ok
  • Submit
  • Log in
  • Register
  • Log in
    • Submit
    • Log in
  • Subscribe
  • Claim
x

Filter:

Filters applied

  • Bayesian Priors Series
  • Granton, John TRemove Granton, John T filter
  • BiasRemove Bias filter
Clear all

Article Type

  • Research Article1

Publication Date

Author

  • Feldman, Brian M1
  • Hawker, Gillian A1
  • Johnson, Sindhu R1
  • Tomlinson, George A1

Journal

  • Journal of Clinical Epidemiology1

Keyword

  • Bayesian1
  • Belief elicitation1
  • Priors1
  • Reliability1
  • Validity1

Access Filter

  • Open Access

Bayesian Priors Series

1 Results
Subscribe to collection
  • Export
    • PDF
    • Citation

Please select at least one article in order to proceed.

Ok
FilterHide Filter
  • Bayesian Priors

    Methods to elicit beliefs for Bayesian priors: a systematic review

    Journal of Clinical Epidemiology
    Vol. 63Issue 4p355–369Published online: August 28, 2009
    • Sindhu R. Johnson
    • George A. Tomlinson
    • Gillian A. Hawker
    • John T. Granton
    • Brian M. Feldman
    Cited in Scopus: 117
    • Preview Hide Preview
    • Download PDF
    • Export Citation
      Bayesian analysis can incorporate clinicians' beliefs about treatment effectiveness into models that estimate treatment effects. Many elicitation methods are available, but it is unclear if any confer advantages based on principles of measurement science. We review belief-elicitation methods for Bayesian analysis and determine if any of them had an incremental value over the others based on its validity, reliability, and responsiveness.
      Methods to elicit beliefs for Bayesian priors: a systematic review
    Page 1 of 1
    Skip menu

      Login to your account

      Show
      Forgot password?
      Don’t have an account?
      Create a Free Account

      If you don't remember your password, you can reset it by entering your email address and clicking the Reset Password button. You will then receive an email that contains a secure link for resetting your password

      If the address matches a valid account an email will be sent to __email__ with instructions for resetting your password

      Cancel
      • Home
      • Articles and Issues
      • Articles in Press
      • Current Issue
      • List of Issues
      • Supplements
      • Collections
      • For Authors
      • About Open Access
      • Author Information
      • Permissions
      • Researcher Academy
      • Submit Manuscript
      • Journal Info
      • About Open Access
      • About the Journal
      • Abstracting/Indexing
      • Career Opportunities
      • Contact Information
      • Editorial Board
      • Info for Advertisers
      • Info for Authors and Readers
      • Pricing
      • New Content Alerts
      • Subscribe
      • More Periodicals
      • Find a Periodical
      • Go to Product Catalog
      • Follow Us
      • Twitter
      • Facebook
      • RSS Feed
      We use cookies to help provide and enhance our service and tailor content. To update your cookie settings, please visit the for this site.
      Copyright © 2023 Elsevier Inc. except certain content provided by third parties. The content on this site is intended for healthcare professionals.

      • Privacy Policy  
      • Terms and Conditions  
      • Accessibility  
      • Help & Contact

      RELX