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A Shrinkage Approach for Estimating a Treatment Effect Using Intermediate Biomarker Data in Clinical Trials

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  • Yun Li
  • Jeremy M. G. Taylor
  • Roderick J. A. Little

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Suggested Citation

  • Yun Li & Jeremy M. G. Taylor & Roderick J. A. Little, 2011. "A Shrinkage Approach for Estimating a Treatment Effect Using Intermediate Biomarker Data in Clinical Trials," Biometrics, The International Biometric Society, vol. 67(4), pages 1434-1441, December.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:4:p:1434-1441
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01608.x
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    References listed on IDEAS

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    1. Cheryl L. Faucett & Nathaniel Schenker & Jeremy M. G. Taylor, 2002. "Survival Analysis Using Auxiliary Variables Via Multiple Imputation, with Application to AIDS Clinical Trial Data," Biometrics, The International Biometric Society, vol. 58(1), pages 37-47, March.
    2. E. S. Venkatraman & Colin B. Begg, 1999. "Properties of A Nonparametric Test for Early Comparison of Treatments in Clinical Trials in the Presence of Surrogate Endpoints," Biometrics, The International Biometric Society, vol. 55(4), pages 1171-1176, December.
    3. 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.
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    Cited by:

    1. Yoshiharu Takagi & Yutaka Kano, 2019. "Bias reduction using surrogate endpoints as auxiliary variables," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(4), pages 837-852, August.
    2. Layla Parast & Beth Ann Griffin, 2017. "Landmark estimation of survival and treatment effects in observational studies," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 161-182, April.
    3. A. S. C. Conlon & J. M. G. Taylor & D. J. Sargent, 2015. "Improving efficiency in clinical trials using auxiliary information: Application of a multi-state cure model," Biometrics, The International Biometric Society, vol. 71(2), pages 460-468, June.

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