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Improving efficiency in clinical trials using auxiliary information: Application of a multi-state cure model

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  • A. S. C. Conlon
  • J. M. G. Taylor
  • D. J. Sargent

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Suggested Citation

  • 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.
    • Handle: RePEc:bla:biomet:v:71:y:2015:i:2:p:460-468
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    File URL: http://hdl.handle.net/10.1111/biom.12281
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Mário de Castro & Ming‐Hui Chen & Yuanye Zhang & Anthony V. D'Amico, 2020. "A Bayesian multi‐risks survival (MRS) model in the presence of double censorings," Biometrics, The International Biometric Society, vol. 76(4), pages 1297-1309, December.

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