IDEAS home Printed from https://ideas.repec.org/a/ids/ijdsci/v7y2022i1p1-21.html
   My bibliography  Save this article

Test of equality of proportional hazard models with jointly censored data

Author

Listed:
  • Ting Zhang
  • Xiaojun Zhu
  • Dejun Xie
  • Feng Su
  • Narayanaswamy Balakrishnan

Abstract

This paper addresses the problem of and solutions to the equality of two samples following the same class of nonlinear models. The test statistic used is based on the partial likelihood estimate from two independent samples with proportional hazard under complete and censored samples. By assuming that the hazard function is time-dependent, we develop exact inference for the partial likelihood estimate of the ratio of two hazard rates. The results obtained are important for testing the equality of sampling distributions and evaluating parameters for the hazard models. We propose a new sequential test based on the partial likelihood estimate, followed by an efficient computational methodology for exact inferential statistics. Examples are provided to demonstrate the implementation of our statistical testing procedure.

Suggested Citation

  • Ting Zhang & Xiaojun Zhu & Dejun Xie & Feng Su & Narayanaswamy Balakrishnan, 2022. "Test of equality of proportional hazard models with jointly censored data," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 7(1), pages 1-21.
    • Handle: RePEc:ids:ijdsci:v:7:y:2022:i:1:p:1-21
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=124365
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijdsci:v:7:y:2022:i:1:p:1-21. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=429 .

    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.