IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v61y2007i3p329-344.html
   My bibliography  Save this article

Adaptive two‐treatment two‐period crossover design for binary treatment responses

Author

Listed:
  • Uttam Bandyopadhyay
  • Atanu Biswas
  • Shirsendu Mukherjee

Abstract

Adaptive designs are sometimes used in a phase III clinical trial with the aim, of allocating a larger number of patients to the better treatment. In the present paper, we use some adaptive designs in a two‐treatment two‐period crossover design where the treatment responses are binary. We use some simple designs to choose between the possible treatment combinations AA, AB, BA or BB. The goal is to use the better treatment a larger proportion of times. We calculate the allocation proportions to the possible treatment combinations and their standard deviations. We also study related inferential problems. Related asymptotics are derived. The proposed procedure is compared with some possible competitors. Finally, we use real data to illustrate the applicability of our proposed design.

Suggested Citation

  • Uttam Bandyopadhyay & Atanu Biswas & Shirsendu Mukherjee, 2007. "Adaptive two‐treatment two‐period crossover design for binary treatment responses," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 61(3), pages 329-344, August.
    • Handle: RePEc:bla:stanee:v:61:y:2007:i:3:p:329-344
    DOI: 10.1111/j.1467-9574.2007.00360.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9574.2007.00360.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9574.2007.00360.x?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. Suryasish Chatterjee & Uttam Bandyopadhyay, 2017. "Three-period, two-treatment crossover design under long-term carryover effect," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 71(4), pages 263-285, November.
    2. Uttam Bandyopadhyay & Joydeep Basu & Ganesh Dutta, 2015. "Crossover design in clinical trials for binary response," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(10), pages 2100-2114, October.

    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:stanee:v:61:y:2007:i:3:p:329-344. 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: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .

    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.