Selected article for: "baseline value and upper end"
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_95
    Snippet: Page 21 of 27 All Rights Reserved Figure 7 . Sensitivity of optimal sample size (in each arm of non-adaptive Bayesian RCT) to the prior probability of having an ineffective treatment . From the lower to upper end of each box plot, the five-parameter summary corresponds to [70%, 85%, 100%, 115%, 125%] of the baseline value % used in our analysis (Table 1 ). Figure 8 . Sensitivity of optimal Type I error rate to the prior probability of having an i.....
    Document: Page 21 of 27 All Rights Reserved Figure 7 . Sensitivity of optimal sample size (in each arm of non-adaptive Bayesian RCT) to the prior probability of having an ineffective treatment . From the lower to upper end of each box plot, the five-parameter summary corresponds to [70%, 85%, 100%, 115%, 125%] of the baseline value % used in our analysis (Table 1 ). Figure 8 . Sensitivity of optimal Type I error rate to the prior probability of having an ineffective treatment . From the upper to lower end of each box plot, the fiveparameter summary corresponds to [70%, 85%, 100%, 115%, 125%] of the baseline value % used in our analysis (Table 1) .

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