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_22
Snippet: We simulate the multi-group SEIR model over a time period of weeks, where is the duration of the epidemic outbreak. Let denote the weekly subject enrollment rate in each arm of the clinical trial. We assume that the value of is known (or well-estimated) at initial time 0 and stays constant during the course of the outbreak. At time ∈ 0, , the Bayesian loss C t of choosing the action under is defined as: 0 do not approve 1 approve 0 (no effect) .....
Document: We simulate the multi-group SEIR model over a time period of weeks, where is the duration of the epidemic outbreak. Let denote the weekly subject enrollment rate in each arm of the clinical trial. We assume that the value of is known (or well-estimated) at initial time 0 and stays constant during the course of the outbreak. At time ∈ 0, , the Bayesian loss C t of choosing the action under is defined as: 0 do not approve 1 approve 0 (no effect) 0
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