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Quantitative Biology > Other Quantitative Biology

arXiv:2005.10248 (q-bio)
COVID-19 e-print

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[Submitted on 21 May 2020]

Title:Statistical Issues and Recommendations for Clinical Trials Conducted During the COVID-19 Pandemic

Authors:R. Daniel Meyer, Bohdana Ratitch, Marcel Wolbers, Olga Marchenko, Hui Quan, Daniel Li, Chrissie Fletcher, Xin Li, David Wright, Yue Shentu, Stefan Englert, Wei Shen, Jyotirmoy Dey, Thomas Liu, Ming Zhou, Norman Bohidar, Peng-Liang Zhao, Michael Hale
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Abstract:The COVID-19 pandemic has had and continues to have major impacts on planned and ongoing clinical trials. Its effects on trial data create multiple potential statistical issues. The scale of impact is unprecedented, but when viewed individually, many of the issues are well defined and feasible to address. A number of strategies and recommendations are put forward to assess and address issues related to estimands, missing data, validity and modifications of statistical analysis methods, need for additional analyses, ability to meet objectives and overall trial interpretability.
Comments: Accepted for publication in Statistics in Biopharmaceutical Research. 40 pages
Subjects: Other Quantitative Biology (q-bio.OT)
Cite as: arXiv:2005.10248 [q-bio.OT]
  (or arXiv:2005.10248v1 [q-bio.OT] for this version)
  https://doi.org/10.48550/arXiv.2005.10248

Submission history

From: Daniel Meyer [view email]
[v1] Thu, 21 May 2020 00:26:06 UTC (978 KB)
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