Optimized Model Selection for Estimating Treatment Effects from Costly Simulations of the US Opioid Epidemic
美国阿片类药物流行高成本模拟中的处理效应估计模型选择
Agent-based simulation with a synthetic population can help us compare different treatment conditions while keeping everything else constant within the same population (i.e., as digital twins). Such population-scale simulations require large computational power (i.e., CPU resources) to get accurate estimates for treatment effects. We can use meta models of the simulation results to circumvent the need to simulate every treatment condition. Selecting the best estimating model…