IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v47y2020i12p2178-2191.html
   My bibliography  Save this article

Nonparametric tests for stratified additive hazards model based on current status data

Author

Listed:
  • Xiaodong Fan
  • Shi-shun Zhao
  • Qingchun Zhang
  • Jianguo Sun

Abstract

Stratified regression models are commonly employed when study subjects may come from possibly different strata such as different medical centers, and for the situation, one common question of interest is to test the existence of the stratum effect. To address this, there exists some literature on the testing of the stratum effects under the framework of the proportional hazards model when one observes right-censored data or interval-censored data. In this paper, we consider the situation under the additive hazards model when one faces current status data, for which there does not seem to exist an established test procedure. The asymptotic distributions of the proposed test procedure are provided. Also a simulation study is performed to evaluate the performance of the proposed method and indicates that it works well for practical situations. The approach is applied to a set of real current status data from a tumorigenicity study.

Suggested Citation

  • Xiaodong Fan & Shi-shun Zhao & Qingchun Zhang & Jianguo Sun, 2020. "Nonparametric tests for stratified additive hazards model based on current status data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(12), pages 2178-2191, September.
    • Handle: RePEc:taf:japsta:v:47:y:2020:i:12:p:2178-2191
    DOI: 10.1080/02664763.2019.1707515
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2019.1707515
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664763.2019.1707515?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
    ---><---

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

    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:taf:japsta:v:47:y:2020:i:12:p:2178-2191. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    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.