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Prentice's Approach and the Meta-Analytic Paradigm: A Reflection on the Role of Statistics in the Evaluation of Surrogate Endpoints

Author

Listed:
  • Ariel Alonso
  • Geert Molenberghs
  • Tomasz Burzykowski
  • Didier Renard
  • Helena Geys
  • Ziv Shkedy
  • Fabián Tibaldi
  • José Cortiñas Abrahantes
  • Marc Buyse

Abstract

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Suggested Citation

  • Ariel Alonso & Geert Molenberghs & Tomasz Burzykowski & Didier Renard & Helena Geys & Ziv Shkedy & Fabián Tibaldi & José Cortiñas Abrahantes & Marc Buyse, 2004. "Prentice's Approach and the Meta-Analytic Paradigm: A Reflection on the Role of Statistics in the Evaluation of Surrogate Endpoints," Biometrics, The International Biometric Society, vol. 60(3), pages 724-728, September.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:3:p:724-728
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00222.x
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    Citations

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    Cited by:

    1. Rui Zhuang & Ying Qing Chen, 2020. "Measuring Surrogacy in Clinical Research," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(3), pages 295-323, December.
    2. John O'Quigley & Philippe Flandre, 2006. "Quantification of the Prentice Criteria for Surrogate Endpoints," Biometrics, The International Biometric Society, vol. 62(1), pages 297-300, March.
    3. Ariel Alonso & Geert Molenberghs, 2007. "Surrogate Marker Evaluation from an Information Theory Perspective," Biometrics, The International Biometric Society, vol. 63(1), pages 180-186, March.
    4. Renfro, Lindsay A. & Shi, Qian & Xue, Yuan & Li, Junlong & Shang, Hongwei & Sargent, Daniel J., 2014. "Center-within-trial versus trial-level evaluation of surrogate endpoints," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 1-20.
    5. Yongming Qu & Michael Case, 2007. "Quantifying the Effect of the Surrogate Marker by Information Gain," Biometrics, The International Biometric Society, vol. 63(3), pages 958-960, September.
    6. Cortiñas Abrahantes, José & Burzykowski, Tomasz, 2010. "Simplified modeling strategies for surrogate validation with multivariate failure-time data," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1457-1466, June.

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