IDEAS home Printed from https://ideas.repec.org/a/bot/rivsta/v74y2014i3p315-334.html
   My bibliography  Save this article

Modeling lifetime data with multiple causes using cause specific reversed hazard rates

Author

Listed:
  • Paduthol Godan Sankaran

    (Cochin University of Science and Technology - India)

  • Anjana Sukumaran

    (Cochin University of Science and Technology - India)

Abstract

In this paper we introduce and study cause specific reversed hazard rates in the context of left censored lifetime data with multiple causes. Nonparametric inference procedure for left censored lifetime data with multiple causes using cause specific reversed hazard rate is discussed. Asymptotic properties of the estimators are studied. Simulation studies are conducted to assess the efficiency of the estimators. Further, the proposed method is applied to mice mortality data (Hoel 1972) and Australian twin data (Duffy et al. 1990).

Suggested Citation

  • Paduthol Godan Sankaran & Anjana Sukumaran, 2014. "Modeling lifetime data with multiple causes using cause specific reversed hazard rates," Statistica, Department of Statistics, University of Bologna, vol. 74(3), pages 315-334.
    • Handle: RePEc:bot:rivsta:v:74:y:2014:i:3:p:315-334
    as

    Download full text from publisher

    File URL: http://rivista-statistica.unibo.it/article/view/5307
    Download Restriction: no
    ---><---

    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:bot:rivsta:v:74:y:2014:i:3:p:315-334. 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: Giovanna Galatà (email available below). General contact details of provider: https://edirc.repec.org/data/dsbolit.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.