IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v35y1986i1p16-30.html
   My bibliography  Save this article

Assessing the Fit of the Logistic Model: A Case Study of Children with the Haemolytic Uraemic Syndrome

Author

Listed:
  • Richard Kay
  • Sarah Little

Abstract

Regression methods for binary data are frequently based on the logistic model. There has been a considerable amount of very recent work concerned with methods for assessing the fit of this model to data. The purpose of this paper is to illustrate the application of these developments in model choice and assessment in terms of a case study of seventy‐five children with the haemolytic‐uraemic syndrome.

Suggested Citation

  • Richard Kay & Sarah Little, 1986. "Assessing the Fit of the Logistic Model: A Case Study of Children with the Haemolytic Uraemic Syndrome," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 35(1), pages 16-30, March.
    • Handle: RePEc:bla:jorssc:v:35:y:1986:i:1:p:16-30
    DOI: 10.2307/2347860
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347860
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2347860?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. Kaili Wang & Sanjana Hossain & Khandker Nurul Habib, 2022. "A hybrid data fusion methodology for household travel surveys to reduce proxy biases and under-representation of specific sub-group of population," Transportation, Springer, vol. 49(6), pages 1801-1836, December.
    2. Jayne M. Godfrey, 1994. "Foreign Currency Accounting Policy: The Impact of Asset Specificity," Contemporary Accounting Research, John Wiley & Sons, vol. 10(2), pages 643-671, March.
    3. Kazutaka Kurasawa, 2017. "Forecasting US recession with the economic policy uncertainty indexes of policy categories," Economics and Business Letters, Oviedo University Press, vol. 6(4), pages 100-109.
    4. William Greene, 2007. "Discrete Choice Modeling," Working Papers 07-6, New York University, Leonard N. Stern School of Business, Department of Economics.

    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:jorssc:v:35:y:1986:i:1:p:16-30. 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.