IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v59y2003i4p1001-1007.html
   My bibliography  Save this article

A New Dose-Finding Design for Bivariate Outcomes

Author

Listed:
  • Anastasia Ivanova

Abstract

No abstract is available for this item.

Suggested Citation

  • Anastasia Ivanova, 2003. "A New Dose-Finding Design for Bivariate Outcomes," Biometrics, The International Biometric Society, vol. 59(4), pages 1001-1007, December.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:4:p:1001-1007
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2003.00115.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.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Shenghua Fan & Bee Leng Lee & Ying Lu, 2020. "A Curve-Free Bayesian Decision-Theoretic Design for Phase Ia/Ib Trials Considering Both Safety and Efficacy Outcomes," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(2), pages 146-166, July.
    2. Nadine Houede & Peter F. Thall & Hoang Nguyen & Xavier Paoletti & Andrew Kramar, 2010. "Utility-Based Optimization of Combination Therapy Using Ordinal Toxicity and Efficacy in Phase I/II Trials," Biometrics, The International Biometric Society, vol. 66(2), pages 532-540, June.
    3. Anastasia Ivanova & Se Hee Kim, 2009. "Dose Finding for Continuous and Ordinal Outcomes with a Monotone Objective Function: A Unified Approach," Biometrics, The International Biometric Society, vol. 65(1), pages 307-315, March.
    4. Peter F. Thall & Hoang Q. Nguyen & Elihu H. Estey, 2008. "Patient-Specific Dose Finding Based on Bivariate Outcomes and Covariates," Biometrics, The International Biometric Society, vol. 64(4), pages 1126-1136, December.
    5. Sergei Leonov & Bahjat Qaqish, 2020. "Correlated endpoints: simulation, modeling, and extreme correlations," Statistical Papers, Springer, vol. 61(2), pages 741-766, April.
    6. Yinghui Zhou & John Whitehead & Pasi Korhonen & Mika Mustonen, 2008. "Implementation of a Bayesian Design in a Dose-Escalation Study of an Experimental Agent in Healthy Volunteers," Biometrics, The International Biometric Society, vol. 64(1), pages 299-308, March.
    7. Peter F. Thall & Aniko Szabo & Hoang Q. Nguyen & Catherine M. Amlie-Lefond & Osama O. Zaidat, 2011. "Optimizing the Concentration and Bolus of a Drug Delivered by Continuous Infusion," Biometrics, The International Biometric Society, vol. 67(4), pages 1638-1646, December.
    8. Guosheng Yin & Yisheng Li & Yuan Ji, 2006. "Bayesian Dose-Finding in Phase I/II Clinical Trials Using Toxicity and Efficacy Odds Ratios," Biometrics, The International Biometric Society, vol. 62(3), pages 777-787, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

    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:59:y:2003:i:4:p:1001-1007. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.