Data Science, Causal Inference, Linear Regression, Getting Started, Ab Testing.
some guidance. — You must include confounders (features that affect both treatment and outcome). — Adding a feature that predicts the output variable and explains its variability can help you to get more confident estimations. — Avoid adding features that either affect only treatment or are the