IDEAS home Printed from https://ideas.repec.org/a/oup/biomet/v90y2003i2p367-378.html
   My bibliography  Save this article

On the inefficiency of the adaptive design for monitoring clinical trials

Author

Listed:
  • Anastasios A. Tsiatis

Abstract

Adaptive designs, which allow the sample size to be modified based on sequentially computed observed treatment differences, have been advocated recently for monitoring clinical trials. Although such methods have a great deal of appeal on the surface, we show that such methods are inefficient and that one can improve uniformly on such adaptive designs using standard group-sequential tests based on the sequentially computed likelihood ratio test statistic. Copyright Biometrika Trust 2003, Oxford University Press.

Suggested Citation

  • Anastasios A. Tsiatis, 2003. "On the inefficiency of the adaptive design for monitoring clinical trials," Biometrika, Biometrika Trust, vol. 90(2), pages 367-378, June.
    • Handle: RePEc:oup:biomet:v:90:y:2003:i:2:p:367-378
    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.

    Citations

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


    Cited by:

    1. André Scherag & Johannes Hebebrand & Helmut Schäfer & Hans-Helge Müller, 2009. "Flexible Designs for Genomewide Association Studies," Biometrics, The International Biometric Society, vol. 65(3), pages 815-821, September.
    2. Chambaz Antoine & van der Laan Mark J., 2011. "Targeting the Optimal Design in Randomized Clinical Trials with Binary Outcomes and No Covariate: Theoretical Study," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-32, January.
    3. Christopher Jennison & Bruce W. Turnbull, 2006. "Discussions," Biometrics, The International Biometric Society, vol. 62(3), pages 670-673, September.
    4. P. Bauer, 2006. "Discussions," Biometrics, The International Biometric Society, vol. 62(3), pages 676-678, September.
    5. Jingjing Chen, 2019. "A Note of Adaptive Design in Clinical Trials," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(5), pages 107-111, August.
    6. Carl-Fredrik Burman & Christian Sonesson, 2006. "Are Flexible Designs Sound?," Biometrics, The International Biometric Society, vol. 62(3), pages 664-669, September.
    7. Michael A. Proschan, 2006. "Discussions," Biometrics, The International Biometric Society, vol. 62(3), pages 674-676, September.
    8. Lingyun Liu & Sam Hsiao & Cyrus R. Mehta, 2018. "Efficiency Considerations for Group Sequential Designs with Adaptive Unblinded Sample Size Re-assessment," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(2), pages 405-419, August.

    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:oup:biomet:v:90:y:2003:i:2:p:367-378. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/biomet .

    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.