Causal Inference

Causal inference involves techniques that aim to establish whether a change in one variable directly causes a change in another. This is crucial for understanding relationships beyond mere correlations, as it enables researchers and practitioners to make informed decisions and predictions based on the underlying mechanisms at play. Methods for causal inference include randomized controlled trials, observational studies, and statistical modeling approaches.