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.
Offered By
Causal Inference 2
Columbia University
About this Course
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Advanced Level
Approx. 13 hours to complete
Suggested: 5 weeks of study, 2-5 hours per week
English
Subtitles: English
Syllabus - What you will learn from this course
1 hour to complete
Module 7: Introduction to Mediation
1 hour to complete
4 videos (Total 37 min), 2 readings, 1 quiz
4 videos
Lesson 1: Mediation and Conditioning on Intermediate Outcomes8m
Lesson 2: Reframing the Problem of Mediation10m
Lesson 3: Identification of Controlled, Average Direct and Indirect Effects12m
2 readings
Welcome to Module 730m
Intro Survey10m
1 practice exercise
Module 7
1 hour to complete
Module 8: More on Mediation
1 hour to complete
3 videos (Total 25 min), 1 reading, 1 quiz
3 videos
Lesson 2: Sensitivity Analyses for Mediation7m
Lesson 3: Instrumental Variables with a Continuous Treatment10m
1 reading
Welcome to Module 810m
1 practice exercise
Module 8: Assessment
1 hour to complete
Module 9: Instrumental Variables, Principal Stratification, and Regression Discontinuity
1 hour to complete
3 videos (Total 34 min), 1 reading
3 videos
Lesson 2: Principal Stratification8m
Lesson 3: Regression Discontinuity12m
1 reading
Welcome to Module 910m
1 hour to complete
Module 10: Longitudinal Causal Inference
1 hour to complete
3 videos (Total 29 min), 1 reading, 1 quiz
3 videos
Lesson 2: Marginal Structural Models8m
Lesson 3: Structural Nested Mean Models and g-estimation9m
1 reading
Welcome to Module 1010m
1 practice exercise
Module 10: Assessment
Offered by
Columbia University
For more than 250 years, Columbia has been a leader in higher education in the nation and around the world. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries and service to society.
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Is financial aid available?
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