IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v60y2004i3p715-723.html
   My bibliography  Save this article

Optimal Conditional Error Functions for the Control of Conditional Power

Author

Listed:
  • Werner Brannath
  • Peter Bauer

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:3:p:715-723
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00221.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. Chau T. Thach & Lloyd D. Fisher, 2002. "Self-Designing Two-Stage Trials to Minimize Expected Costs," Biometrics, The International Biometric Society, vol. 58(2), pages 432-438, June.
    2. 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.
    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. 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.
    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. 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.
    2. Marianne Frisén, 2006. "Discussions," Biometrics, The International Biometric Society, vol. 62(3), pages 678-680, 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 & 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. 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.
    4. Lingyun Liu & Sam Hsiao & Cyrus R. Mehta, 2018. "Efficiency Considerations for Group Sequential Designs with Adaptive Unblinded Sample Size Re-assessment," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(2), pages 405-419, August.
    5. Uttam Bandyopadhyay & Atanu Biswas & Rahul Bhattacharya, 2010. "A covariate‐adjusted adaptive design for two‐stage clinical trials with survival data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(2), pages 202-226, May.
    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. 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.
    9. Marot Guillemette & Mayer Claus-Dieter, 2009. "Sequential Analysis for Microarray Data Based on Sensitivity and Meta-Analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-35, January.
    10. 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.
    11. 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.
    12. Yi Cheng & Yu Shen, 2004. "Estimation of a Parameter and Its Exact Confidence Interval Following Sequential Sample Size Reestimation Trials," Biometrics, The International Biometric Society, vol. 60(4), pages 910-918, December.
    13. Martin Posch & Peter Bauer, 2000. "Interim Analysis and Sample Size Reassessment," Biometrics, The International Biometric Society, vol. 56(4), pages 1170-1176, December.
    14. Nigel Stallard, 2023. "Adaptive enrichment designs with a continuous biomarker," Biometrics, The International Biometric Society, vol. 79(1), pages 9-19, March.
    15. Carl-Fredrik Burman & Christian Sonesson, 2006. "Are Flexible Designs Sound?," Biometrics, The International Biometric Society, vol. 62(3), pages 664-669, September.
    16. 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.
    17. Stefan Englert & Meinhard Kieser, 2012. "Improving the Flexibility and Efficiency of Phase II Designs for Oncology Trials," Biometrics, The International Biometric Society, vol. 68(3), pages 886-892, September.
    18. Sebastian Jobjörnsson & Henning Schaak & Oliver Musshoff & Tim Friede, 2023. "Improving the statistical power of economic experiments using adaptive designs," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 357-382, April.
    19. Hanan Hammouri & Mohammed Ali & Marwan Alquran & Areen Alquran & Ruwa Abdel Muhsen & Belal Alomari, 2023. "Adaptive Multiple Testing Procedure for Clinical Trials with Urn Allocation," Mathematics, MDPI, vol. 11(18), pages 1-20, September.
    20. 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.

    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:60:y:2004:i:3:p:715-723. 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.