IDEAS home Printed from https://ideas.repec.org/a/wly/apsmda/v4y1988i4p283-298.html
   My bibliography  Save this article

A comparison of counting process models for complicated life histories

Author

Listed:
  • Jochen Mau

Abstract

The modern statistical theory for counting processes lends itself to flexible non‐parametric analyses of complicated life histories. Its application rests upon a statistical model of multiplicative intensities, adequately constructed for the objectives of the analysis and usually derived from an underlying stochastic model of an individual course of disease. It is shown how survival times and suitable stochastic partitionings of the time axis can yield statistical models of intermittent and multi‐state exposure to a risk of death which otherwise are deduced, under stronger assumptions, from Markovian illness–death processes. Aalen's linear regression model for counting processes is applied in a non‐standard context of intermittent exposure.

Suggested Citation

  • Jochen Mau, 1988. "A comparison of counting process models for complicated life histories," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 4(4), pages 283-298, December.
    • Handle: RePEc:wly:apsmda:v:4:y:1988:i:4:p:283-298
    DOI: 10.1002/asm.3150040407
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asm.3150040407
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asm.3150040407?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:wly:apsmda:v:4:y:1988:i:4:p:283-298. 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://doi.org/10.1002/(ISSN)1099-0747 .

    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.