The Data Analyst’s Guide to Cause and Effect - An Introduction to Causal Inference in Practice

Understanding cause-and-effect relationships is essential for credible research and informed decision-making. The Data Analyst’s Guide to Cause and Effect offers a clear, practical roadmap for answering causal questions using both experimental and observational data.

Built around the EEESI workflow—Estimand, Estimator,