IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v52y2025i13p2438-2447.html

Quantile regression model for interval-censored data with competing risks

Author

Listed:
  • Amirah Afiqah binti Che Ramli
  • Yang-Jin Kim

Abstract

Our interest is to provide the methodology for estimating quantile regression model for interval-censored competing risk data. Lee and Kim [Analysis of interval censored competing risk data via nonparametric multiple imputation. Stat. Biopharm. Res. 13 (2020), pp. 367–374.] applied a censoring complete data concept suggested by Ruan and Gray [Analyses of cumulative incidence function via non-parametric multiple imputation. Sta. Med. 27 (2008), pp. 5709–5724.] to recover a missing information related with competing events. In this paper, we also applied it to a quantile regression model. The simulated censoring times of the competing events are generated with a multiple imputation technique and the survival function of right censoring times. The performance of suggested methods is evaluated by comparing with the result of a simple imputation method under several distributions and sample sizes. The AIDS dataset is analyzed to estimate the effect of several covariates on the quantiles of cause-specific CIF as a real data analysis.

Suggested Citation

  • Amirah Afiqah binti Che Ramli & Yang-Jin Kim, 2025. "Quantile regression model for interval-censored data with competing risks," Journal of Applied Statistics, Taylor & Francis Journals, vol. 52(13), pages 2438-2447, October.
    • Handle: RePEc:taf:japsta:v:52:y:2025:i:13:p:2438-2447
    DOI: 10.1080/02664763.2025.2474627
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2025.2474627
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664763.2025.2474627?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

    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:52:y:2025:i:13:p:2438-2447. 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.