Comparison of Methods that Combine Multiple Randomized Trials to Estimate Heterogeneous Treatment Effects
合并多项随机试验估计异质性处理效应的方法比较
Individualized treatment decisions can improve health outcomes, but using data to make these decisions in a reliable, precise, and generalizable way is challenging with a single dataset. Leveraging multiple randomized controlled trials allows for the combination of datasets with unconfounded treatment assignment to better estimate heterogeneous treatment effects. This paper discusses several non-parametric approaches for estimating heterogeneous treatment effects using data…