Selected article for: "bayesian decision model and Type error rate"

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_40
    Snippet: For the Bayesian adaptive RCT, when the therapeutic is ineffective ( 0), the average sample size required to reject the therapeutic is much smaller than that of the non-adaptive version (Columns 7 and 8 of Table 3 ). Also, the required sample size decreases with the infectivity in both mean and quartiles, yet always achieves Type I error rate below that of the non-adaptive version (Column 11). The adaptive Bayesian decision model is able to rejec.....
    Document: For the Bayesian adaptive RCT, when the therapeutic is ineffective ( 0), the average sample size required to reject the therapeutic is much smaller than that of the non-adaptive version (Columns 7 and 8 of Table 3 ). Also, the required sample size decreases with the infectivity in both mean and quartiles, yet always achieves Type I error rate below that of the non-adaptive version (Column 11). The adaptive Bayesian decision model is able to reject an ineffective therapeutic with a relatively small sample size and a bounded falsepositive rate.

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