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Using an outcomes based causal framework, we typically define the effect of an exposure, X, on an outcome as the difference in mean outcomes when the population is uniformly at X = a vs. X = b (where a and b are any combination of exposure levels, only one of which is observable) for some target population with a specific distribution of confounders [26].
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