IDEAS home Printed from https://ideas.repec.org/a/bot/rivsta/v72y2012i4p375-393.html
   My bibliography  Save this article

Some recent developments in the design of adaptive clinical trials

Author

Listed:
  • ALESSANDRO BALDI ANTOGNINI

    (Department of Statistical Sciences - University of Bologna - Italy)

  • ALESSANDRA GIOVAGNOLI

    (Department of Statistical Sciences - University of Bologna - Italy)

  • MAROUSSA ZAGORAIOU

    (Department of Statistical Sciences - University of Bologna - Italy
    Department of Statistical Sciences - University of Bologna - Italy)

Abstract

For clinical trials that compare two or more competing treatments, the literature proposes several randomization rules that aim at favouring, at each stage of the trial, the treatment that appears to be best. In two papers the present authors have suggested criteria of optimal allocation that combine inferential precision and ethical gain by means of flexible weights, in order to achieve a good trade-off between efficiency and ethical concerns. The ensuing optimal allocation of the treatments can be targeted by a suitable response- adaptive randomization rule. The purpose of this paper is to illustrate and extend the results previously obtained by the authors to a wider range of statistical models for comparative trials. Methods for implementing these designs are given. Some numerical examples are included in order to enhance the applicability.

Suggested Citation

  • Alessandro Baldi Antognini & Alessandra Giovagnoli & Maroussa Zagoraiou, 2012. "Some recent developments in the design of adaptive clinical trials," Statistica, Department of Statistics, University of Bologna, vol. 72(4), pages 375-393.
    • Handle: RePEc:bot:rivsta:v:72:y:2012:i:4:p:375-393
    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 search 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:bot:rivsta:v:72:y:2012:i:4:p:375-393. 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: Giovanna Galatà (email available below). General contact details of provider: https://edirc.repec.org/data/dsbolit.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.