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Causal Inference 2

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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Length 6 weeks
Effort 5 weeks of study, 2-5 hours per week
Starts Aug 3 (8 weeks ago)
Cost $49
From Columbia University via Coursera
Instructor Michael E. Sobel
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics

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Rating Not enough ratings
Length 6 weeks
Effort 5 weeks of study, 2-5 hours per week
Starts Aug 3 (8 weeks ago)
Cost $49
From Columbia University via Coursera
Instructor Michael E. Sobel
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics

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