Methods for Integrating Trials and Non-Experimental Data to Examine Treatment Effect Heterogeneity
整合试验与非实验数据研究处理效应异质性的方法
Estimating treatment effects conditional on observed covariates can improve the ability to tailor treatments to particular individuals. Doing so effectively requires dealing with potential confounding, and also enough data to adequately estimate effect moderation. A recent influx of work has looked into estimating treatment effect heterogeneity using data from multiple randomized controlled trials and/or observational datasets. With many new methods available for assessing…