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
Columbia University
Syllabus - What you will learn from this course
Week
11 hour to complete
Module 7: Introduction to Mediation
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
Week
21 hour to complete
Module 8: More on Mediation
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
Week
31 hour to complete
Module 9: Instrumental Variables, Principal Stratification, and Regression Discontinuity
3 videos (Total 34 min), 1 reading
3 videos
Lesson 2: Principal Stratification8m
Lesson 3: Regression Discontinuity12m
1 reading
Welcome to Module 910m
Week
41 hour to complete
Module 10: Longitudinal Causal Inference
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
Instructor
Michael E. Sobel
ProfessorDepartment of Statistics
About 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.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
Coursera provides universal access to the world’s best education,
partnering with top universities and organizations to offer courses online.
© 2019 Coursera Inc. All rights reserved.
