IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v13y1993i1p49-57.html
   My bibliography  Save this article

Validation of Probabilistic Predictions

Author

Listed:
  • Michael E. Miller
  • Carl D. Langefeld
  • William M. Tierney
  • Siu L. Hui
  • Clement J. McDonald

Abstract

Current advances in high-speed computing and increased availability of statistical software have led to widespread use of statistical methods for the development of computerized protocols predictive of binary health outcomes. If these predictive algorithms are to be used in settings other than those for which they were developed, e.g., applied in a different geographic setting or extrapolated for use in a slightly different population, then they should be carefully validated to ensure appropriate application. Miller et al. (Stat Med. 1991) provided a comprehensive methodology for external validation of logistic prediction models, and ap plied these methods in a temporal validation setting. In this article, the authors emphasize how these methods can be applied to general forms of probabilistic predictions and provide several SAS® macros for computation of the desired statistics. Key words: validation; logistic regression; predictive probabilities. (Med Decis Making 1993;13:49-58)

Suggested Citation

  • Michael E. Miller & Carl D. Langefeld & William M. Tierney & Siu L. Hui & Clement J. McDonald, 1993. "Validation of Probabilistic Predictions," Medical Decision Making, , vol. 13(1), pages 49-57, February.
    • Handle: RePEc:sae:medema:v:13:y:1993:i:1:p:49-57
    DOI: 10.1177/0272989X9301300107
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X9301300107
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X9301300107?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
    ---><---

    Citations

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


    Cited by:

    1. Ja Hyeon Ku & Myong Kim & Seok-Soo Byun & Hyeon Jeong & Cheol Kwak & Hyeon Hoe Kim & Sang Eun Lee, 2015. "External Validation of Models for Prediction of Lymph Node Metastasis in Urothelial Carcinoma of the Bladder," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-10, October.
    2. Kim Wopken & Hendrik P Bijl & Arjen van der Schaaf & Miranda E Christianen & Olga Chouvalova & Sjoukje F Oosting & Bernard F A M van der Laan & Jan L N Roodenburg & C René Leemans & Ben J Slotman & Pa, 2014. "Development and Validation of a Prediction Model for Tube Feeding Dependence after Curative (Chemo-) Radiation in Head and Neck Cancer," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-8, April.
    3. Selin Merdan & Christine L. Barnett & Brian T. Denton & James E. Montie & David C. Miller, 2021. "OR Practice–Data Analytics for Optimal Detection of Metastatic Prostate Cancer," Operations Research, INFORMS, vol. 69(3), pages 774-794, May.

    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:13:y:1993:i:1:p:49-57. 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: 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.