论文标题
适应性的超盒匹配，以进行可解释的个性化治疗效果估计
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation
论文作者
论文摘要
我们为观察数据提出了一种匹配方法，该方法将单位与其他单位特异性，超盒形区域的协变空间相匹配。这些区域足够大，可以为每个单元创建许多匹配，并且足够小，以至于整个治疗效果大致恒定。这些区域被发现是混合整数程序的解决方案，或使用（快速）近似算法。结果是对每个单元的因果效应的可解释且量身定制的估计值。
We propose a matching method for observational data that matches units with others in unit-specific, hyper-box-shaped regions of the covariate space. These regions are large enough that many matches are created for each unit and small enough that the treatment effect is roughly constant throughout. The regions are found as either the solution to a mixed integer program, or using a (fast) approximation algorithm. The result is an interpretable and tailored estimate of a causal effect for each unit.
