IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v54y2025i21p6950-6965.html
   My bibliography  Save this article

Integrated exclusive hypothesis test for response missing at random

Author

Listed:
  • Qiyue Huang
  • Ji’an Lei
  • Fupeng Chen
  • Xingwei Tong

Abstract

This study presents a novel method with its computational scheme for testing the exclusive hypothesis in regression models with missing responses under the missing at random (MAR) mechanism. The proposed integrated exclusive hypothesis test addresses the challenge of testing whether a response variable is associated with at most one or multiple factors among a set of predictors, based on the inverse probability weighted (IPW) estimation and the -2-loss-difference test statistics, which are combined to form an integrated decision criterion. The asymptotic properties are established, showing high theoretical and computational efficiency. Numerical experiments demonstrate the validation and robustness of the proposed methodology. As an application, the proposed test is used on an AIDS clinical dataset collected from AIDS Clinical Trials Group Protocol 175.

Suggested Citation

  • Qiyue Huang & Ji’an Lei & Fupeng Chen & Xingwei Tong, 2025. "Integrated exclusive hypothesis test for response missing at random," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 54(21), pages 6950-6965, November.
    • Handle: RePEc:taf:lstaxx:v:54:y:2025:i:21:p:6950-6965
    DOI: 10.1080/03610926.2025.2464088
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2025.2464088
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2025.2464088?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:lstaxx:v:54:y:2025:i:21:p:6950-6965. 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/lsta .

    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.