IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v58y2002i1p171-177.html
   My bibliography  Save this article

Dose Finding Using the Biased Coin Up-and-Down Design and Isotonic Regression

Author

Listed:
  • Mario Stylianou
  • Nancy Flournoy

Abstract

No abstract is available for this item.

Suggested Citation

  • Mario Stylianou & Nancy Flournoy, 2002. "Dose Finding Using the Biased Coin Up-and-Down Design and Isotonic Regression," Biometrics, The International Biometric Society, vol. 58(1), pages 171-177, March.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:1:p:171-177
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00171.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. Keshvari, Abolfazl & Kuosmanen, Timo, 2013. "Stochastic non-convex envelopment of data: Applying isotonic regression to frontier estimation," European Journal of Operational Research, Elsevier, vol. 231(2), pages 481-491.
    2. Jiajing Xu & Guosheng Yin & David Ohlssen & Frank Bretz, 2016. "Bayesian two-stage dose finding for cytostatic agents via model adaptation," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(3), pages 465-482, April.
    3. Mark R. Conaway & Stephanie Dunbar & Shyamal D. Peddada, 2004. "Designs for Single- or Multiple-Agent Phase I Trials," Biometrics, The International Biometric Society, vol. 60(3), pages 661-669, September.
    4. Guosheng Yin & Ying Yuan, 2009. "A Latent Contingency Table Approach to Dose Finding for Combinations of Two Agents," Biometrics, The International Biometric Society, vol. 65(3), pages 866-875, September.
    5. Guosheng Yin & Ying Yuan, 2009. "Bayesian dose finding in oncology for drug combinations by copula regression," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(2), pages 211-224, May.
    6. Anastasia Ivanova, 2003. "A New Dose-Finding Design for Bivariate Outcomes," Biometrics, The International Biometric Society, vol. 59(4), pages 1001-1007, December.
    7. Nancy Flournoy & José Moler & Fernando Plo, 2020. "Performance Measures in Dose‐Finding Experiments," International Statistical Review, International Statistical Institute, vol. 88(3), pages 728-751, December.

    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:58:y:2002:i:1:p:171-177. 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.