IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v10y1990i1p15-23.html
   My bibliography  Save this article

An Introduction to a Bayesian Method for Meta-analysis

Author

Listed:
  • David M. Eddy
  • Vic Hasselblad
  • Ross Shachter

Abstract

The Confidence Profile Method is a new Bayesian method that can be used to assess technologies where the available evidence involves a variety of experimental designs, types of outcomes, and effect measures; a variety of biases; combinations of biases and nested biases; uncertainty about biases; an underlying variability in the parameter of interest; indirect evidence; and technology families. The result of an analysis with the Confidence Profile Method is a posterior distribution for the parameter of interest, posterior distributions for other parameters, and a covariance matrix for all the parameters in the model. The posterior distributions incorporate all the uncertainty the assessor chooses to describe about any of the parameters used in the analysis. Key words : Confidence Profile Method; bias; Bayesian analysis; meta-analysis. (Med Decis Making 1990;10:15-23)

Suggested Citation

  • David M. Eddy & Vic Hasselblad & Ross Shachter, 1990. "An Introduction to a Bayesian Method for Meta-analysis," Medical Decision Making, , vol. 10(1), pages 15-23, February.
    • Handle: RePEc:sae:medema:v:10:y:1990:i:1:p:15-23
    DOI: 10.1177/0272989X9001000104
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X9001000104
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X9001000104?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David M. Eddy, 1989. "The Confidence Profile Method: A Bayesian Method for Assessing Health Technologies," Operations Research, INFORMS, vol. 37(2), pages 210-228, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raymond C. W. Hutubessy & Louis W. Niessen & Rob F. Dijkstra & Ton F. Casparie & Frans F. Rutten, 2005. "Stochastic league tables: an application to diabetes interventions in the Netherlands," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 445-455, May.
    2. A. Goubar & A. E. Ades & D. De Angelis & C. A. McGarrigle & C. H. Mercer & P. A. Tookey & K. Fenton & O. N. Gill, 2008. "Estimates of human immunodeficiency virus prevalence and proportion diagnosed based on Bayesian multiparameter synthesis of surveillance data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 541-580, June.
    3. Martin Hellmich & Keith R. Abrams & Alex J. Sutton, 1999. "Bayesian Approaches to Meta-analysi of ROC Curves," Medical Decision Making, , vol. 19(3), pages 252-264, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vic Hasselblad & Douglas C. McCrory, 1995. "Meta-analytic Tools for Medical Decision Making: A Practical Guide," Medical Decision Making, , vol. 15(1), pages 81-96, February.
    2. A. E. Ades & S. Cliffe, 2002. "Markov Chain Monte Carlo Estimation of a Multiparameter Decision Model: Consistency of Evidence and the Accurate Assessment of Uncertainty," Medical Decision Making, , vol. 22(4), pages 359-371, August.
    3. Woertman, Willem & Vermeulen, Bram & Groenewoud, Hans & van der Wilt, Gert Jan, 2013. "Evidence based policy decisions through a Bayesian approach: The case of a statin appraisal in the Netherlands," Health Policy, Elsevier, vol. 112(3), pages 234-240.
    4. Jeremy D. Goldhaber-Fiebert, 2012. "Accounting for Biases When Linking Empirical Studies and Simulation Models," Medical Decision Making, , vol. 32(3), pages 397-399, May.
    5. A. E. Ades & G. Lu, 2003. "Correlations Between Parameters in Risk Models: Estimation and Propagation of Uncertainty by Markov Chain Monte Carlo," Risk Analysis, John Wiley & Sons, vol. 23(6), pages 1165-1172, December.
    6. Mehrez, A. & Yuan, Y. & Gafni, A., 1995. "The search for information -- A patient perspective on multiple opinions," European Journal of Operational Research, Elsevier, vol. 85(2), pages 244-262, September.
    7. A. E. Ades & Karl Claxton & Mark Sculpher, 2006. "Evidence synthesis, parameter correlation and probabilistic sensitivity analysis," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 373-381, April.
    8. K. M. Rhodes & J. Savović & R. Elbers & H. E. Jones & J. P. T. Higgins & J. A. C. Sterne & N. J. Welton & R. M. Turner, 2020. "Adjusting trial results for biases in meta‐analysis: combining data‐based evidence on bias with detailed trial assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 193-209, January.
    9. Newmark Armstrong, Georgina & Lairson, David R., 2006. "Cost-effectiveness of alternate contact protocols and costs of mammography promotion interventions for women veterans," Evaluation and Program Planning, Elsevier, vol. 29(2), pages 120-129, May.
    10. Kevin P. Brand & Mitchell J. Small, 1995. "Updating Uncertainty in an Integrated Risk Assessment: Conceptual Framework and Methods," Risk Analysis, John Wiley & Sons, vol. 15(6), pages 719-729, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:10:y:1990:i:1:p:15-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.