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Quantifying the Effect of the Surrogate Marker by Information Gain

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  • Yongming Qu
  • Michael Case

Abstract

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  • 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.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:3:p:958-960
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00852_1.x
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    References listed on IDEAS

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    1. 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.
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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. Neil Hawkins & Gerry Richardson & Alex J Sutton & Nicola J Cooper & Chris Griffiths & Anne Rogers & Peter Bower, 2012. "Surrogates, meta‐analysis and cost‐effectiveness modelling: a combined analytic approach," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 742-756, June.

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