Data Science, Causal Inference, Statistics, Towards Data Science, Targeted Learning.
first step, we calculated Y₀ and Y₁ through g-computation, now we need to update it to reduce the bias of confounding variables. We introduce H₀(A=a, X) = \frac{I(A=1}{π₁} — \frac{I(A=0}{π₀}. Let’s understand this more — for individual, we calculate H₁=\frac{1}{π₁} and H₀=\frac{1}{π₀}. With each