Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering
利用零效应降低单侧触发实验中的估计方差
In online experiments where the intervention is only exposed, or "triggered", for a small subset of the population, it is critical to use variance reduction techniques to estimate treatment effects with sufficient precision to inform business decisions. Trigger-dilute analysis is often used in these situations, and reduces the sampling variance of overall intent-to-treat (ITT) effects by an order of magnitude equal to the inverse of the triggering rate; for example, a…