Causal Inference 2
Learn advanced topics in causal inference, including mediation, principal stratification, and regression discontinuity, with this rigorous Master’s level course. Gain valuable knowledge for making inferences about causal relationships in science, medicine, policy, and business. Explore modules on mediation, instrumental variables, longitudinal causal inference, and more. Revolutionize your data analysis skills and enhance your understanding of causation. Enroll now!
This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level.
Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships.
We will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models.
What you will learn
Module 7: Introduction to Mediation
Module 8: More on Mediation
Module 9: Instrumental Variables, Principal Stratification, and Regression Discontinuity
Module 10: Longitudinal Causal Inference
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