Causal Inference, Machine Learning, Azure, Microsoft, Data Science.
the treatment effect is called individual treatment effect (ITE), and the ITE of unit i is defined as: ITE = Yᵢ (T = 1) — Yᵢ (T = 0) where Yᵢ (T = 1) and Yᵢ (T = 0) are the potential treated and control outcomes of unit i, , respectively. In related work from Kunzel et al. (2019), estimators that