IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v55y1999i3p971-977.html
   My bibliography  Save this article

Decision Theoretic Designs for Phase II Clinical Trials with Multiple Outcomes

Author

Listed:
  • Nigel Stallard
  • Peter F. Thall
  • John Whitehead

Abstract

No abstract is available for this item.

Suggested Citation

  • Nigel Stallard & Peter F. Thall & John Whitehead, 1999. "Decision Theoretic Designs for Phase II Clinical Trials with Multiple Outcomes," Biometrics, The International Biometric Society, vol. 55(3), pages 971-977, September.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:3:p:971-977
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00971.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Steffen Ventz & Lorenzo Trippa, 2015. "Bayesian designs and the control of frequentist characteristics: A practical solution," Biometrics, The International Biometric Society, vol. 71(1), pages 218-226, March.
    2. Nigel Stallard, 2003. "Decision-Theoretic Designs for Phase II Clinical Trials Allowing for Competing Studies," Biometrics, The International Biometric Society, vol. 59(2), pages 402-409, June.
    3. Nigel Stallard & Peter F. Thall, 2001. "Decision-Theoretic Designs for Pre-Phase II Screening Trials in Oncology," Biometrics, The International Biometric Society, vol. 57(4), pages 1089-1095, December.
    4. Lurdes Y. T. Inoue & Peter F. Thall & Donald A. Berry, 2002. "Seamlessly Expanding a Randomized Phase II Trial to Phase III," Biometrics, The International Biometric Society, vol. 58(4), pages 823-831, December.
    5. Meichun Ding & Gary L. Rosner & Peter Müller, 2008. "Bayesian Optimal Design for Phase II Screening Trials," Biometrics, The International Biometric Society, vol. 64(3), pages 886-894, September.
    6. Sambucini, Valeria, 2019. "Bayesian predictive monitoring with bivariate binary outcomes in phase II clinical trials," Computational Statistics & Data Analysis, Elsevier, vol. 132(C), pages 18-30.
    7. Peter F. Thall & Hoang Q. Nguyen & Sarah Zohar & Pierre Maton, 2014. "Optimizing Sedative Dose in Preterm Infants Undergoing Treatment for Respiratory Distress Syndrome," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 931-943, September.

    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:biomet:v:55:y:1999:i:3:p:971-977. 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=0006-341X .

    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.