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10.1080/19466315.2020.1799857

http://scihub22266oqcxt.onion/10.1080/19466315.2020.1799857
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34191979!8011492!34191979
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suck abstract from ncbi

pmid34191979      Stat+Biopharm+Res 2020 ; 12 (4): 461-477
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  • Clinical Trials Impacted by the COVID-19 Pandemic: Adaptive Designs to the Rescue? #MMPMID34191979
  • Kunz CU; Jorgens S; Bretz F; Stallard N; Van Lancker K; Xi D; Zohar S; Gerlinger C; Friede T
  • Stat Biopharm Res 2020[Aug]; 12 (4): 461-477 PMID34191979show ga
  • Very recently the new pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified and the coronavirus disease 2019 (COVID-19) declared a pandemic by the World Health Organization. The pandemic has a number of consequences for ongoing clinical trials in non-COVID-19 conditions. Motivated by four current clinical trials in a variety of disease areas we illustrate the challenges faced by the pandemic and sketch out possible solutions including adaptive designs. Guidance is provided on (i) where blinded adaptations can help; (ii) how to achieve Type I error rate control, if required; (iii) how to deal with potential treatment effect heterogeneity; (iv) how to use early read-outs; and (v) how to use Bayesian techniques. In more detail approaches to resizing a trial affected by the pandemic are developed including considerations to stop a trial early, the use of group-sequential designs or sample size adjustment. All methods considered are implemented in a freely available R shiny app. Furthermore, regulatory and operational issues including the role of data monitoring committees are discussed.
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