IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v175y2012i1p1-47.html
   My bibliography  Save this article

Statistical methods for healthcare regulation: rating, screening and surveillance

Author

Listed:
  • David Spiegelhalter
  • Christopher Sherlaw‐Johnson
  • Martin Bardsley
  • Ian Blunt
  • Christopher Wood
  • Olivia Grigg

Abstract

No abstract is available for this item.

Suggested Citation

  • David Spiegelhalter & Christopher Sherlaw‐Johnson & Martin Bardsley & Ian Blunt & Christopher Wood & Olivia Grigg, 2012. "Statistical methods for healthcare regulation: rating, screening and surveillance," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(1), pages 1-47, January.
    • Handle: RePEc:bla:jorssa:v:175:y:2012:i:1:p:1-47
    DOI: j.1467-985X.2011.01010.x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-985X.2011.01010.x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/j.1467-985X.2011.01010.x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Du, Lilun & Wen, Mengtao, 2023. "False discovery rate approach to dynamic change detection," Journal of Multivariate Analysis, Elsevier, vol. 198(C).
    2. Beaussier, Anne-Laure & Demeritt, David & Griffiths, Alex & Rothstein, Henry, 2020. "Steering by their own lights: Why regulators across Europe use different indicators to measure healthcare quality," Health Policy, Elsevier, vol. 124(5), pages 501-510.
    3. Alessandra Guglielmi & Francesca Ieva & Anna M. Paganoni & Fabrizio Ruggeri & Jacopo Soriano, 2014. "Semiparametric Bayesian models for clustering and classification in the presence of unbalanced in-hospital survival," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(1), pages 25-46, January.
    4. Nicholas Tibor Longford, 2016. "Decision Theory Applied to Selecting the Winners, Ranking, and Classification," Journal of Educational and Behavioral Statistics, , vol. 41(4), pages 420-442, August.
    5. Nicholas T. Longford, 2020. "Performance assessment as an application of causal inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1363-1385, October.
    6. Maria Cristiana Martini & Luigi Fabbris, 2017. "Beyond Employment Rate: A Multidimensional Indicator of Higher Education Effectiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 351-370, January.
    7. Francesca Ieva & Anna Paganoni, 2015. "Detecting and visualizing outliers in provider profiling via funnel plots and mixed effect models," Health Care Management Science, Springer, vol. 18(2), pages 166-172, June.
    8. Johannes Hengelbrock & Johannes Rauh & Jona Cederbaum & Maximilian Kähler & Michael Höhle, 2023. "Hospital profiling using Bayesian decision theory," Biometrics, The International Biometric Society, vol. 79(3), pages 2757-2769, September.
    9. Sai H. Dharmarajan & Douglas E. Schaubel & Rajiv Saran, 2018. "Evaluating center performance in the competing risks setting: Application to outcomes of wait†listed end†stage renal disease patients," Biometrics, The International Biometric Society, vol. 74(1), pages 289-299, March.

    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:bla:jorssa:v:175:y:2012:i:1:p:1-47. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.