Causal Identification

Causal Identification is a statistical method aimed at identifying causal relationships from observational data by analyzing dependencies and conditional independencies among variables to determine which variables have a direct impact on the outcome. The goal of this method is to establish accurate causal models that provide a scientific basis for decision-making. In fields such as medical research, policy evaluation, and social sciences, Causal Identification holds significant application value, helping researchers and policymakers understand causal mechanisms in complex systems, thereby formulating more effective strategies and interventions.