论文标题
通过熵平衡运输实验结果
Transporting Experimental Results with Entropy Balancing
论文作者
论文摘要
我们展示了如何将熵平衡用于将试验人群的实验治疗效应运送到目标人群中。这种方法是双重的，因为如果正确指定了结果模型或试验参与的概率，那么目标人群平均治疗效果的估计是一致的。此外，我们只需要从目标人群中提取的效果修饰符的样本矩即可始终如一地估计目标人群平均治疗效果。我们比较了熵平衡的有限样本性能和几种替代方法，用于在人群之间运输治疗效果。熵平衡技术对于违反模型错误的规定是有效且鲁棒的。我们还研究了我们提出的方法的结果，以对控制糖尿病的心血管风险（ACCORC-BP）试验进行应用分析，该试验运送到美国成年人的样本中，这些糖尿病是从国家健康和营养检查调查（NHANES）同伴中采取的糖尿病。
We show how entropy balancing can be used for transporting experimental treatment effects from a trial population onto a target population. This method is doubly-robust in the sense that if either the outcome model or the probability of trial participation is correctly specified, then the estimate of the target population average treatment effect is consistent. Furthermore, we only require the sample moments of the effect modifiers drawn from the target population to consistently estimate the target population average treatment effect. We compared the finite-sample performance of entropy balancing with several alternative methods for transporting treatment effects between populations. Entropy balancing techniques are efficient and robust to violations of model misspecification. We also examine the results of our proposed method in an applied analysis of the Action to Control Cardiovascular Risk in Diabetes Blood Pressure (ACCORD-BP) trial transported to a sample of US adults with diabetes taken from the National Health and Nutrition Examination Survey (NHANES) cohort.
