Author: Qingyang Xu; Shomesh Chaudhuri; Danying Xiao; Andrew W Lo
Title: Bayesian Adaptive Clinical Trials for Anti-Infective Therapeutics during Epidemic Outbreaks Document date: 2020_4_14
ID: 20hk99h4_110
Snippet: Page 27 of 27 All Rights Reserved This alternative definition is not very realistic. For an epidemic with , the loss of Type I error converges to a large positive value as time approaches the end of the epidemic outbreak. However, at the end of the outbreak, there are no more infected patients and thus no susceptible subjects. Therefore, the loss of Type I error should approach zero as → . This is the case for the excess risk of susceptibility .....
Document: Page 27 of 27 All Rights Reserved This alternative definition is not very realistic. For an epidemic with , the loss of Type I error converges to a large positive value as time approaches the end of the epidemic outbreak. However, at the end of the outbreak, there are no more infected patients and thus no susceptible subjects. Therefore, the loss of Type I error should approach zero as → . This is the case for the excess risk of susceptibility but not for the absolute risk of susceptibility .
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