IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v68y2019i1p251-264.html
   My bibliography  Save this article

Temporal trends of biomarkers and between‐biomarker associations

Author

Listed:
  • Zonghui Hu

Abstract

We are interested in the temporal trends of biomarkers that are related to disease progression, especially the association between two temporal trends. When biological mechanisms are lacking, no parametric forms of the temporal trends are theoretically justified. In this work, we adopt joint non‐parametric local linear mixed effects modelling. By local linear regression, each temporal trend is represented by its magnitude and slope (the primary interest in medical studies) which both change with time. By mixed effects modelling, we take care of data sparsity within each subject and the large subject‐to‐subject variability. The association between two temporal trends is evaluated by the correlation coefficient matrix, assessing association in terms of both the magnitude and the slope. The joint modelling enables evaluation of the association as a continuous function of time, even if one or neither biomarker is observed at some specific time points. We apply the method proposed to a study of human immunodeficiency virus patients following anti‐retroviral therapy until viral suppression. We find that associations between some biomarkers change over time, reflecting potentially changing stages of disease.

Suggested Citation

  • Zonghui Hu, 2019. "Temporal trends of biomarkers and between‐biomarker associations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 68(1), pages 251-264, January.
    • Handle: RePEc:bla:jorssc:v:68:y:2019:i:1:p:251-264
    DOI: 10.1111/rssc.12290
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rssc.12290
    Download Restriction: no
    File URL: https://libkey.io/10.1111/rssc.12290?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
    ---><---

    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:bla:jorssc:v:68:y:2019:i:1:p:251-264. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.