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A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials

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  • Haitao Pan
  • Ying Yuan
  • Jielai Xia

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  • Haitao Pan & Ying Yuan & Jielai Xia, 2017. "A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(5), pages 979-996, November.
  • Handle: RePEc:bla:jorssc:v:66:y:2017:i:5:p:979-996
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    File URL: http://hdl.handle.net/10.1111/rssc.12204
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    References listed on IDEAS

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    1. Ibrahim J.G. & Chen M-H. & Sinha D., 2003. "On Optimality Properties of the Power Prior," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 204-213, January.
    2. Ying Yuan & Guosheng Yin, 2009. "Bayesian dose finding by jointly modelling toxicity and efficacy as time‐to‐event outcomes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(5), pages 719-736, December.
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    Cited by:

    1. Wenlin Yuan & Ming-Hui Chen & John Zhong, 2022. "Flexible Conditional Borrowing Approaches for Leveraging Historical Data in the Bayesian Design of Superiority Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(2), pages 197-215, July.
    2. Yong Liu & Alan P. Ker, 2021. "Simultaneous borrowing of information across space and time for pricing insurance contracts: An application to rating crop insurance policies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(1), pages 231-257, March.
    3. Chenguang Wang & Min Lin & Gary L. Rosner & Guoxing Soon, 2023. "A Bayesian model with application for adaptive platform trials having temporal changes," Biometrics, The International Biometric Society, vol. 79(2), pages 1446-1458, June.
    4. Chenghao Chu & Bingming Yi, 2021. "Dynamic historical data borrowing using weighted average," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1259-1280, November.
    5. Liyun Jiang & Lei Nie & Ying Yuan, 2023. "Elastic priors to dynamically borrow information from historical data in clinical trials," Biometrics, The International Biometric Society, vol. 79(1), pages 49-60, March.
    6. Yimei Li & Ying Yuan, 2020. "PA‐CRM: A continuous reassessment method for pediatric phase I oncology trials with concurrent adult trials," Biometrics, The International Biometric Society, vol. 76(4), pages 1364-1373, December.
    7. Chen Li & Haitao Pan, 2020. "A phase I dose-finding design with incorporation of historical information and adaptive shrinking boundaries," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.

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