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Linear increment in efficiency with the inclusion of surrogate endpoint

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  • Banerjee, Buddhananda
  • Biswas, Atanu

Abstract

In a two-sample clinical trial, a fixed proportion of true-and-surrogate and the remaining only-surrogate responses are observed. We quantify the increase in efficiency to compare the treatments as a linear function of the proportion of available true responses.

Suggested Citation

  • Banerjee, Buddhananda & Biswas, Atanu, 2015. "Linear increment in efficiency with the inclusion of surrogate endpoint," Statistics & Probability Letters, Elsevier, vol. 96(C), pages 102-108.
    • Handle: RePEc:eee:stapro:v:96:y:2015:i:c:p:102-108
    DOI: 10.1016/j.spl.2014.09.015
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    References listed on IDEAS

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    1. Yue Wang & Jeremy M. G. Taylor, 2002. "A Measure of the Proportion of Treatment Effect Explained by a Surrogate Marker," Biometrics, The International Biometric Society, vol. 58(4), pages 803-812, December.
    2. Hua Chen & Zhi Geng & Jinzhu Jia, 2007. "Criteria for surrogate end points," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(5), pages 919-932, November.
    3. Chen S.X. & Leung D.H.Y. & Qin J., 2003. "Information Recovery in a Study With Surrogate Endpoints," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 1052-1062, January.
    4. C. B. Begg & D. H. Y. Leung, 2000. "On the use of surrogate end points in randomized trials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(1), pages 15-28.
    Full references (including those not matched with items on IDEAS)

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