IDEAS home Printed from https://ideas.repec.org/a/bla/scjsta/v27y2000i4p605-617.html
   My bibliography  Save this article

Analysis of Competing Risks by Using Bayesian Smoothing

Author

Listed:
  • Dario Gasbarra
  • S. R. Karia

Abstract

We consider the competing risks set‐up. In many practical situations, the conditional probability of the cause of failure given the failure time is of direct interest. We propose to model the competing risks by the overall hazard rate and the conditional probabilities rather than the cause‐specific hazards. We adopt a Bayesian smoothing approach for both quantities of interest. Illustrations are given at the end.

Suggested Citation

  • Dario Gasbarra & S. R. Karia, 2000. "Analysis of Competing Risks by Using Bayesian Smoothing," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 27(4), pages 605-617, December.
  • Handle: RePEc:bla:scjsta:v:27:y:2000:i:4:p:605-617
    DOI: 10.1111/1467-9469.00211
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9469.00211
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1467-9469.00211?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. Fermanian, Jean-David, 2003. "Nonparametric estimation of competing risks models with covariates," Journal of Multivariate Analysis, Elsevier, vol. 85(1), pages 156-191, April.
    2. Djeundje, Viani Biatat & Crook, Jonathan, 2018. "Incorporating heterogeneity and macroeconomic variables into multi-state delinquency models for credit cards," European Journal of Operational Research, Elsevier, vol. 271(2), pages 697-709.
    3. Mériem Saïd & Nadia Ghazzali & Louis-Paul Rivest, 2007. "Score tests for independence in parametric competing risks models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(3), pages 547-564, December.
    4. Pierpaolo De Blasi & Nils L. Hjort, 2007. "The Bernstein-Von Mises Theorem in Semiparametric Competing Risks Models," ICER Working Papers - Applied Mathematics Series 17-2007, ICER - International Centre for Economic Research.
    5. Andrew G. Chapple, 2018. "Modeling ISIL terror attacks and their fatality rates with a Bayesian reversible jump marked point process," EERI Research Paper Series EERI RP 2018/09, Economics and Econometrics Research Institute (EERI), Brussels.

    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:scjsta:v:27:y:2000:i:4:p:605-617. 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: http://www.blackwellpublishing.com/journal.asp?ref=0303-6898 .

    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.