IDEAS home Printed from https://ideas.repec.org/a/bpj/ijbist/v19y2023i1p131-162n3.html
   My bibliography  Save this article

A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies

Author

Listed:
  • Wan Alan T. K.

    (Department of Biostatistics, Department of Management Sciences and School of Data Science, City University of Hong Kong, Hong Kong, China)

  • Zhao Wei

    (Zhongtai Securities Institute for Financial Studies, Shandong University, Jinan 250100, China)

  • Gilbert Peter

    (Department of Biostatistics, University of Washington, Seattle, WA 98195, USA)

  • Zhou Yong

    (Faculty of Economics and Management, East China Normal University, Shanghai 200241, China)

Abstract

Prevalent cohort studies in medical research often give rise to length-biased survival data that require special treatments. The recently proposed varying-coefficient partially linear transformation (VCPLT) model has the virtue of providing a more dynamic content of the effects of the covariates on survival times than the well-known partially linear transformation (PLT) model by allowing flexible interactions between the covariates. However, no existing analysis of the VCPLT model has considered length-biased sampling. In this paper, we consider the VCPLT model when the data are length-biased and right censored, thereby extending the reach of this flexible and powerful tool. We develop a martingale estimating function-based approach to the estimation of this model, provide theoretical underpinnings, evaluate finite sample performance via simulations, and showcase its practical appeal via an empirical application using data from two HIV vaccine clinical trials conducted by the U.S. National Institute of Allergy and Infectious Diseases.

Suggested Citation

  • Wan Alan T. K. & Zhao Wei & Gilbert Peter & Zhou Yong, 2023. "A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies," The International Journal of Biostatistics, De Gruyter, vol. 19(1), pages 131-162, May.
    • Handle: RePEc:bpj:ijbist:v:19:y:2023:i:1:p:131-162:n:3
    DOI: 10.1515/ijb-2021-0057
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/ijb-2021-0057
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/ijb-2021-0057?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

    Keywords

    ;
    ;
    ;
    ;

    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:bpj:ijbist:v:19:y:2023:i:1:p:131-162:n:3. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyterbrill.com .

    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.