IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-8176-0_8.html
   My bibliography  Save this book chapter

Introduction to Basket Trials

In: Bayesian Adaptive Design for Immunotherapy and Targeted Therapy

Author

Listed:
  • Haitao Pan

    (St. Jude Children’s Research Hospital, Department of Biostatistics)

  • Ying Yuan

    (The University of Texas MD Anderson Cancer Center, Department of Biostatistics)

Abstract

With the advent of targeted therapies and immunotherapies, precision medicine has entered clinical practice. Basket trials provide an important approach to evaluating treatment effects of targeted therapies and immunotherapies. Under the basket trial, patients with the same genetic or molecular aberrations, regardless of their cancer types, are enrolled in the trial for evaluating the effect of a targeted agent. The basket trial allows for the incorporation of precision medicine into clinical trials. This chapter introduces several frequentist and Bayesian designs for basket trials, with a special focus on borrowing information across cancer types using Bayesian hierarchical model approaches. Software for some designs are described.

Suggested Citation

  • Haitao Pan & Ying Yuan, 2023. "Introduction to Basket Trials," Springer Books, in: Bayesian Adaptive Design for Immunotherapy and Targeted Therapy, chapter 0, pages 149-200, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-8176-0_8
    DOI: 10.1007/978-981-19-8176-0_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-981-19-8176-0_8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.