CAS doctrine

The CAS doctrine, or "Causal and Associative Statistics," is a principle used in various fields to determine whether a certain factor directly causes an effect or is merely associated with it. In simpler terms, it helps researchers distinguish between what actually influences an outcome and what just happens to occur alongside it. This understanding is crucial in fields like medicine, social sciences, and economics, where knowing the difference can lead to more effective solutions, policies, or treatments. Ultimately, the CAS doctrine aids in making informed decisions based on accurate interpretations of data and relationships.