IDEAS home Printed from https://ideas.repec.org/a/bla/jorssb/v62y2000i4p839-846.html
   My bibliography  Save this article

Closure of the class of binary generalized linear models in some non‐standard settings

Author

Listed:
  • John M. Neuhaus

Abstract

This paper considers fitting generalized linear models to binary data in nonstandard settings such as case–control samples, studies with misclassified responses and misspecified models. We develop simple methods for fitting models to case–control data and show that a closure property holds for generalized linear models in the nonstandard settings, i.e. if the responses follow a generalized linear model in the population of interest, then so will the observed response in the non‐standard setting, but with a modified link function. These results imply that we can analyse data and study problems in the non‐standard settings by using classical generalized linear model methods such as the iteratively reweighted least squares algorithm. Example data illustrate the results.

Suggested Citation

  • John M. Neuhaus, 2000. "Closure of the class of binary generalized linear models in some non‐standard settings," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(4), pages 839-846.
  • Handle: RePEc:bla:jorssb:v:62:y:2000:i:4:p:839-846
    DOI: 10.1111/1467-9868.00268
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9868.00268
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1467-9868.00268?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
    ---><---

    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:jorssb:v:62:y:2000:i:4:p:839-846. 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.