Causal Scoring: A Framework for Effect Estimation, Effect Ordering, and Effect Classification

The presentation introduces causal scoring for decision-making, with interpretations: effect estimation (EE), effect ordering (EO), and effect classification (EC). EE represents the causal effect, EO as a proxy for magnitude, and EC categorizes individuals. Aligning modeling enhances accuracy. Practical examples demonstrate its utility.