Data Science, Statistics, Analytics, Experiment, Causality.
adjustment, which works for DAGs that look like: front-door Where U is unobserved and we want to the causal impact of X on Z. To be precise, we require: The direct path from X to Z goes through Y There is no unblocked backdoor path from X to Y All backdoor paths from Y to Z get blocked by X This