IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v38y2013i4p355-380.html
   My bibliography  Save this article

Covariate Adjustment Strategy Increases Power in the Randomized Controlled Trial With Discrete-Time Survival Endpoints

Author

Listed:
  • Maryam Safarkhani

    (Utrecht University)

  • Mirjam Moerbeek

    (Utrecht University)

Abstract

In a randomized controlled trial, a decision needs to be made about the total number of subjects for adequate statistical power. One way to increase the power of a trial is by including a predictive covariate in the model. In this article, the effects of various covariate adjustment strategies on increasing the power is studied for discrete-time survival endpoints; the circumstances are examined under which the covariate adjustment results in a sufficient increase in power. Using a predictive covariate may increase the costs for each subject, so it is useful to quantify when using a covariate is a cost-efficient strategy. The results reveal that using a covariate is highly recommended if the costs for measuring the covariate are relatively small and the correlation with the outcome sufficiently high.

Suggested Citation

  • Maryam Safarkhani & Mirjam Moerbeek, 2013. "Covariate Adjustment Strategy Increases Power in the Randomized Controlled Trial With Discrete-Time Survival Endpoints," Journal of Educational and Behavioral Statistics, , vol. 38(4), pages 355-380, August.
    • Handle: RePEc:sae:jedbes:v:38:y:2013:i:4:p:355-380
    DOI: 10.3102/1076998612461832
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/1076998612461832
    Download Restriction: no
    File URL: https://libkey.io/10.3102/1076998612461832?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Safarkhani, Maryam & Moerbeek, Mirjam, 2014. "The influence of a covariate on optimal designs in longitudinal studies with discrete-time survival endpoints," Computational Statistics & Data Analysis, Elsevier, vol. 75(C), pages 217-226.

    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:sae:jedbes:v:38:y:2013:i:4:p:355-380. 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: SAGE Publications (email available below). General contact details of provider: .

    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.