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Introduction to Special Issue on Leveraging External Data to Improve Trial Efficiency

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Listed:
  • Lanju Zhang

    (Vertex Pharmaceuticals)

  • Naitee Ting

    (Boehringer Ingelheim)

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Suggested Citation

  • Lanju Zhang & Naitee Ting, 2022. "Introduction to Special Issue on Leveraging External Data to Improve Trial Efficiency," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(2), pages 193-196, July.
    • Handle: RePEc:spr:stabio:v:14:y:2022:i:2:d:10.1007_s12561-022-09348-4
    DOI: 10.1007/s12561-022-09348-4
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    References listed on IDEAS

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    1. Hui Quan & Xiaofei Chen & Xun Chen & Xiaodong Luo, 2022. "Assessments of Conditional and Unconditional Type I Error Probabilities for Bayesian Hypothesis Testing with Historical Data Borrowing," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(1), pages 139-157, April.
    2. Heng Li & Wei-Chen Chen & Chenguang Wang & Nelson Lu & Changhong Song & Ram Tiwari & Yunling Xu & Lilly Q. Yue, 2022. "Augmenting Both Arms of a Randomized Controlled Trial Using External Data: An Application of the Propensity Score-Integrated Approaches," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(1), pages 79-89, April.
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