IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v33y1985i1p126-133.html
   My bibliography  Save this article

The Comparison of Life Table and Markov Chain Techniques for Follow-up Studies

Author

Listed:
  • John R. Schoenfelder

    (Burroughs Wellcome Co., Research Triangle Park, North Carolina)

  • Richard H. Shachtman

    (University of North Carolina, Chapel Hill, North Carolina)

  • Gordon J. Johnston

    (Harris Corporation, Melbourne, Florida)

Abstract

We examine Markov chain versus life table techniques for comparing cohorts (homogeneous groups) with respect to time to occurrence of specified events. Key results are (i) a theorem showing that, when the underlying process is a stationary Markov chain, the Markov chain estimator of time to occurrence is equivalent to the life table estimator, and (ii) simulation statistics suggesting that the Markov chain estimator has a smaller standard error.

Suggested Citation

  • John R. Schoenfelder & Richard H. Shachtman & Gordon J. Johnston, 1985. "The Comparison of Life Table and Markov Chain Techniques for Follow-up Studies," Operations Research, INFORMS, vol. 33(1), pages 126-133, February.
    • Handle: RePEc:inm:oropre:v:33:y:1985:i:1:p:126-133
    DOI: 10.1287/opre.33.1.126
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.33.1.126
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.33.1.126?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:inm:oropre:v:33:y:1985:i:1:p:126-133. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.