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Learner Reviews & Feedback for Causal Inference 2 by Columbia University

14 ratings

About the Course

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....
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1 - 6 of 6 Reviews for Causal Inference 2

By Ang K J

Aug 24, 2020

By Samuel D

Apr 5, 2020

By Seethu S

Nov 27, 2020

By Huyen N

May 1, 2020

By Weijia C

Aug 16, 2020

By Vikram M

Oct 21, 2019