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_83
Snippet: 8 April 2020 © 2020 by Xu, Chaudhuri, Xiao, and Lo Page 12 of 27 All Rights Reserved Table 3 . Simulation results of a Bayesian adaptive RCT on non-vaccine anti-infective therapeutics obtained from 10,000 Monte Carlo runs and assuming . denotes the basic reproduction number, µ the disease morality, and the proportion of initial infected subjects. Sample size refers to the number of subjects enrolled in each arm of the RCT. SD denotes standard d.....
Document: 8 April 2020 © 2020 by Xu, Chaudhuri, Xiao, and Lo Page 12 of 27 All Rights Reserved Table 3 . Simulation results of a Bayesian adaptive RCT on non-vaccine anti-infective therapeutics obtained from 10,000 Monte Carlo runs and assuming . denotes the basic reproduction number, µ the disease morality, and the proportion of initial infected subjects. Sample size refers to the number of subjects enrolled in each arm of the RCT. SD denotes standard deviation, and IQR the interquartile range about the median. (t) denotes the use of a dynamic transmission model with half-life weeks and window length week. . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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