IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v57y2001i3p886-891.html
   My bibliography  Save this article

Adaptive Group Sequential Designs for Clinical Trials: Combining the Advantages of Adaptive and of Classical Group Sequential Approaches

Author

Listed:
  • Hans-Helge Müller
  • Helmut Schäfer

Abstract

No abstract is available for this item.

Suggested Citation

  • Hans-Helge Müller & Helmut Schäfer, 2001. "Adaptive Group Sequential Designs for Clinical Trials: Combining the Advantages of Adaptive and of Classical Group Sequential Approaches," Biometrics, The International Biometric Society, vol. 57(3), pages 886-891, September.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:3:p:886-891
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2001.00886.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. Walter Lehmacher & Gernot Wassmer, 1999. "Adaptive Sample Size Calculations in Group Sequential Trials," Biometrics, The International Biometric Society, vol. 55(4), pages 1286-1290, December.
    2. Yu Shen & Lloyd Fisher, 1999. "Statistical Inference for Self-Designing Clinical Trials with a One-Sided Hypothesis," Biometrics, The International Biometric Society, vol. 55(1), pages 190-197, 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. 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.

    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 & Yu Shen, 2005. "Adaptive Design and Estimation in Randomized Clinical Trials with Correlated Observations," Biometrics, The International Biometric Society, vol. 61(2), pages 362-369, June.
    2. 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.
    3. Martin Posch & Peter Bauer, 2000. "Interim Analysis and Sample Size Reassessment," Biometrics, The International Biometric Society, vol. 56(4), pages 1170-1176, December.
    4. Werner Brannath & Cyrus R. Mehta & Martin Posch, 2009. "Exact Confidence Bounds Following Adaptive Group Sequential Tests," Biometrics, The International Biometric Society, vol. 65(2), pages 539-546, June.
    5. Hartung, Joachim, 2000. "A new class of self-designing clinical trials," Technical Reports 2000,12, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    6. René Schmidt & Andreas Faldum & Joachim Gerß, 2015. "Adaptive designs with arbitrary dependence structure based on Fisher’s combination test," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 427-447, September.
    7. P. Bauer, 2006. "Discussions," Biometrics, The International Biometric Society, vol. 62(3), pages 676-678, September.
    8. Hanan Hammouri & Marwan Alquran & Ruwa Abdel Muhsen & Jaser Altahat, 2022. "Optimal Weighted Multiple-Testing Procedure for Clinical Trials," Mathematics, MDPI, vol. 10(12), pages 1-19, June.
    9. Christopher Jennison, 2023. "Discussion on “Adaptive enrichment designs with a continuous biomarker” by N. Stallard," Biometrics, The International Biometric Society, vol. 79(1), pages 26-30, March.
    10. Georg Gutjahr & Werner Brannath & Peter Bauer, 2011. "An Approach to the Conditional Error Rate Principle with Nuisance Parameters," Biometrics, The International Biometric Society, vol. 67(3), pages 1039-1046, September.
    11. Qing Liu & George Y. H. Chi, 2001. "On Sample Size and Inference for Two‐Stage Adaptive Designs," Biometrics, The International Biometric Society, vol. 57(1), pages 172-177, March.
    12. Sebastian Irle & Helmut Schäfer, 2012. "Interim Design Modifications in Time-to-Event Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(497), pages 341-348, March.
    13. Michael Rosenblum & Ethan X. Fang & Han Liu, 2020. "Optimal, two‐stage, adaptive enrichment designs for randomized trials, using sparse linear programming," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(3), pages 749-772, July.
    14. Michael A. Proschan, 2006. "Discussions," Biometrics, The International Biometric Society, vol. 62(3), pages 674-676, September.
    15. Werner Brannath & Peter Bauer, 2004. "Optimal Conditional Error Functions for the Control of Conditional Power," Biometrics, The International Biometric Society, vol. 60(3), pages 715-723, September.
    16. W. Brannath & P. Bauer & W. Maurer & M. Posch, 2003. "Sequential Tests for Noninferiority and Superiority," Biometrics, The International Biometric Society, vol. 59(1), pages 106-114, March.
    17. Gregory P. Levin & Sarah C. Emerson & Scott S. Emerson, 2014. "An evaluation of inferential procedures for adaptive clinical trial designs with pre-specified rules for modifying the sample size," Biometrics, The International Biometric Society, vol. 70(3), pages 556-567, September.
    18. Christopher Jennison & Bruce W. Turnbull, 2006. "Discussions," Biometrics, The International Biometric Society, vol. 62(3), pages 670-673, September.
    19. repec:jss:jstsof:28:i07 is not listed on IDEAS
    20. Rui Tang & Xiaoye Ma & Hui Yang & Michael Wolf, 2018. "Biomarker-Defined Subgroup Selection Adaptive Design for Phase III Confirmatory Trial with Time-to-Event Data: Comparing Group Sequential and Various Adaptive Enrichment Designs," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(2), pages 371-404, August.
    21. Yeonhee Park & Suyu Liu & Peter F. Thall & Ying Yuan, 2022. "Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers," Biometrics, The International Biometric Society, vol. 78(1), pages 60-71, March.

    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:57:y:2001:i:3:p:886-891. 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.