IDEAS home Printed from https://ideas.repec.org/a/kap/hcarem/v11y2008i1p35-40.html
   My bibliography  Save this article

Modelling of errors in databases

Author

Listed:
  • Steve Gallivan
  • Christina Pagel

Abstract

No abstract is available for this item.

Suggested Citation

  • Steve Gallivan & Christina Pagel, 2008. "Modelling of errors in databases," Health Care Management Science, Springer, vol. 11(1), pages 35-40, March.
    • Handle: RePEc:kap:hcarem:v:11:y:2008:i:1:p:35-40
    DOI: 10.1007/s10729-007-9022-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10729-007-9022-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10729-007-9022-y?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.

    References listed on IDEAS

    as
    1. Martin Ladouceur & Elham Rahme & Christian A. Pineau & Lawrence Joseph, 2007. "Robustness of Prevalence Estimates Derived from Misclassified Data from Administrative Databases," Biometrics, The International Biometric Society, vol. 63(1), pages 272-279, March.
    Full references (including those not matched with items on IDEAS)

    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. Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2017. "Generalized partially linear regression with misclassified data and an application to labour market transitions," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 145-159.
    2. Mingkai Peng & Guanmin Chen & Lisa M Lix & Finlay A McAlister & Karen Tu & Norm R Campbell & Brenda R Hemmelgarn & Lawrence W Svenson & Hude Quan & Hypertension Outcomes Surveillance Team, 2015. "Refining Hypertension Surveillance to Account for Potentially Misclassified Cases," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-11, March.
    3. Edlira Skrami & Flavia Carle & Simona Villani & Paola Borrelli & Antonella Zambon & Giovanni Corrao & Paolo Trerotoli & Vincenzo Guardabasso & Rosaria Gesuita, 2019. "Availability of Real-World Data in Italy: A Tool to Navigate Regional Healthcare Utilization Databases," IJERPH, MDPI, vol. 17(1), pages 1-12, December.
    4. Mohammad Ehsanul Karim & Paul Gustafson, 2016. "Hypothesis Testing for an Exposure–Disease Association in Case–Control Studies Under Nondifferential Exposure Misclassification in the Presence of Validation Data: Bayesian and Frequentist Adjustments," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 8(2), pages 234-252, October.

    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:kap:hcarem:v:11:y:2008:i:1:p:35-40. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.