Data Science, Causal Inference, Statistics, Towards Data Science, Targeted Learning.
individual’s Y, H₁, and H₀, we can fit a linear model assuming the intercept is constant. logit(E∗(Y|A, X))=logit(Y_a)+𝛿×Ha, Here the 𝛿 is a fluctuation parameter consists of two values (𝛿1,𝛿0) for the model. With 𝛿ˆ, we can generate logit(Y₁)=logit(Y₁)+ 𝛿1×H₁ and logit(Y₀)=logit(Y₀)+ 𝛿0×H₀ Step 4.