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_99
Snippet: Page 22 of 27 All Rights Reserved Figure 9 . Sensitivity of optimal sample size (in each arm of non-adaptive Bayesian RCT) to the time to assess the efficacy of the non-vaccine anti-infective therapeutics ∆ . From the upper to lower end of each box plot, the five-parameter summary corresponds to [0%, 50%, 100%, 150%, 200%] of the baseline value ∆ used in our analysis (Table 1 ). Figure 10 . Sensitivity of optimal Type I error rate to the time.....
Document: Page 22 of 27 All Rights Reserved Figure 9 . Sensitivity of optimal sample size (in each arm of non-adaptive Bayesian RCT) to the time to assess the efficacy of the non-vaccine anti-infective therapeutics ∆ . From the upper to lower end of each box plot, the five-parameter summary corresponds to [0%, 50%, 100%, 150%, 200%] of the baseline value ∆ used in our analysis (Table 1 ). Figure 10 . Sensitivity of optimal Type I error rate to the time to assess the efficacy of the anti-infective therapeutic ∆ . From the lower to upper end of each box plot, the five-parameter summary corresponds to [0%, 50%, 100%, 150%, 200%] of the baseline value ∆ used in our analysis (Table 1) .
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