IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v18y1993i4p285-303.html
   My bibliography  Save this article

Empirical Bayes Analysis of Families of Survival Curves: Applications to the Analysis of Degree Attainment

Author

Listed:
  • Henry I. Braun
  • Rebecca Zwick

Abstract

We present a novel approach to the empirical Bayes analysis of aggregated survival data from different groups of subjects. The method is based on a contingency table representation of the data and employs transformations to permit the use of normal priors. In contrast to the case of a single survival curve, the empirical Bayes analysis of families of such curves leads to estimates which offer a qualitative improvement over classical estimates based on the ratio of occurrence to exposure rates. This method is illustrated with data on the attainment of the doctoral degree from three major universities.

Suggested Citation

  • Henry I. Braun & Rebecca Zwick, 1993. "Empirical Bayes Analysis of Families of Survival Curves: Applications to the Analysis of Degree Attainment," Journal of Educational and Behavioral Statistics, , vol. 18(4), pages 285-303, December.
    • Handle: RePEc:sae:jedbes:v:18:y:1993:i:4:p:285-303
    DOI: 10.3102/10769986018004285
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986018004285
    Download Restriction: no
    File URL: https://libkey.io/10.3102/10769986018004285?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
    ---><---

    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:jedbes:v:18:y:1993:i:4:p:285-303. 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.