IDEAS home Printed from https://ideas.repec.org/a/bla/jorssb/v79y2017i5p1487-1508.html
   My bibliography  Save this article

Semiparametric dose finding methods

Author

Listed:
  • M. Clertant
  • J. O’Quigley

Abstract

No abstract is available for this item.

Suggested Citation

  • M. Clertant & J. O’Quigley, 2017. "Semiparametric dose finding methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1487-1508, November.
  • Handle: RePEc:bla:jorssb:v:79:y:2017:i:5:p:1487-1508
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/rssb.12229
    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. Suyu Liu & Ying Yuan, 2015. "Bayesian optimal interval designs for phase I clinical trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 64(3), pages 507-523, April.
    2. Ying Kuen Cheung & Rick Chappell, 2002. "A Simple Technique to Evaluate Model Sensitivity in the Continual Reassessment Method," Biometrics, The International Biometric Society, vol. 58(3), pages 671-674, September.
    3. Azriel, David, 2012. "A note on the robustness of the continual reassessment method," Statistics & Probability Letters, Elsevier, vol. 82(5), pages 902-906.
    4. Tian, Tian, 2016. "A note on continual reassessment method," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 94-102.
    5. Ying Kuen Cheung, 2005. "Coherence principles in dose-finding studies," Biometrika, Biometrika Trust, vol. 92(4), pages 863-873, December.
    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. Pavel Mozgunov & Thomas Jaki, 2020. "An information theoretic approach for selecting arms in clinical trials," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(5), pages 1223-1247, December.
    2. Sean M. Devlin & Alexia Iasonos & John O’Quigley, 2021. "Phase I clinical trials in adoptive T‐cell therapies," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 815-834, August.

    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. Azriel, David, 2014. "Optimal sequential designs in phase I studies," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 288-297.
    2. 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.
    3. Tianjian Zhou & Wentian Guo & Yuan Ji, 2020. "PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(2), pages 124-145, July.
    4. Thomas M. Braun, 2018. "Motivating sample sizes in adaptive Phase I trials via Bayesian posterior credible intervals," Biometrics, The International Biometric Society, vol. 74(3), pages 1065-1071, September.
    5. Qingyang Liu & Junxian Geng & Frank Fleischer & Qiqi Deng, 2022. "Efficacy-Driven Dose Finding with Toxicity Control in Phase I Oncology Studies," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(3), pages 413-431, December.
    6. Yimei Li & Ying Yuan, 2020. "PA‐CRM: A continuous reassessment method for pediatric phase I oncology trials with concurrent adult trials," Biometrics, The International Biometric Society, vol. 76(4), pages 1364-1373, December.
    7. Oron Assaf P. & Azriel David & Hoff Peter D., 2011. "Dose-Finding Designs: The Role of Convergence Properties," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-17, October.
    8. Ying Kuen Cheung, 2014. "Simple benchmark for complex dose finding studies," Biometrics, The International Biometric Society, vol. 70(2), pages 389-397, June.
    9. Nolan A. Wages & Mark R. Conaway & John O'Quigley, 2011. "Continual Reassessment Method for Partial Ordering," Biometrics, The International Biometric Society, vol. 67(4), pages 1555-1563, December.
    10. Sweeting, Michael & Mander, Adrian & Sabin, Tony, 2013. "bcrm: Bayesian Continual Reassessment Method Designs for Phase I Dose-Finding Trials," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i13).
    11. Deborah Plana & Geoffrey Fell & Brian M. Alexander & Adam C. Palmer & Peter K. Sorger, 2022. "Cancer patient survival can be parametrized to improve trial precision and reveal time-dependent therapeutic effects," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    12. Jay Bartroff & Tze Leung Lai, 2011. "Incorporating Individual and Collective Ethics into Phase I Cancer Trial Designs," Biometrics, The International Biometric Society, vol. 67(2), pages 596-603, June.
    13. Azriel, David, 2012. "A note on the robustness of the continual reassessment method," Statistics & Probability Letters, Elsevier, vol. 82(5), pages 902-906.
    14. Chen Li & Haitao Pan, 2020. "A phase I dose-finding design with incorporation of historical information and adaptive shrinking boundaries," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.
    15. Graham M. Wheeler, 2018. "Incoherent dose-escalation in phase I trials using the escalation with overdose control approach," Statistical Papers, Springer, vol. 59(2), pages 801-811, June.

    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:jorssb:v:79:y:2017:i:5:p:1487-1508. 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: https://edirc.repec.org/data/rssssea.html .

    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.