Causal inference in epidemiology is the framework for determining whether an observed association between an exposure and an outcome reflects a true cause–effect relationship, using study design, counterfactual reasoning, and analytical methods to control for bias, confounding, and random error.
📎 Downloadable File
⬇ Download File
PDF file