Data Science, Analytics, Causal Inference, Editors Pick.
incremental causal impact of using the optimization system on Test-period Revenue, controlling for all the other variables. This approach is widely used: when a causal effect is desired, analysts will identify confounders and routinely throw them into a regression along with the treatment and