IDEAS home Printed from https://ideas.repec.org/a/taf/tstfxx/v5y2021i4p288-302.html
   My bibliography  Save this article

A system for determining maximum tolerated dose in clinical trial

Author

Listed:
  • Keying Ye
  • Xiaobin Yang
  • Ying Ji
  • Min Wang

Abstract

Toxicity study, especially in determining the maximum tolerated dose (MTD) in phase I clinical trial, is an important step in developing new life-saving drugs. In practice, toxicity levels may be categorised as binary grades, multiple grades, or in a more generalised case, continuous grades. In this study, we propose an overall MTD framework that includes all the aforementioned cases for a single toxicity outcome (response). The mechanism of determining MTD involves a function that is predetermined by user. Analytic properties of such a system are investigated and simulation studies are performed for various scenarios. The concept of the continual reassessment method (CRM) is also implied in the framework and Bayesian analysis, including Markov chain Monte Carlo (MCMC) methods are used in estimating the model parameters.

Suggested Citation

  • Keying Ye & Xiaobin Yang & Ying Ji & Min Wang, 2021. "A system for determining maximum tolerated dose in clinical trial," Statistical Theory and Related Fields, Taylor & Francis Journals, vol. 5(4), pages 288-302, October.
    • Handle: RePEc:taf:tstfxx:v:5:y:2021:i:4:p:288-302
    DOI: 10.1080/24754269.2021.1871708
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24754269.2021.1871708
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/24754269.2021.1871708?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 search 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:tstfxx:v:5:y:2021:i:4:p:288-302. 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/tstf .

    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.