About this Course
This course offers a rigorous mathematical survey of 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 methods for collecting data to estimate causal relationships. Students will learn how to distinguish between relationships that are causal and non-causal; this is not always obvious. We shall then study and evaluate the various methods students can use — such as matching, sub-classification on the propensity score, inverse probability of treatment weighting, and machine learning — to estimate a variety of effects — such as the average treatment effect and the effect of treatment on the treated. At the end, we discuss methods for evaluating some of the assumptions we have made, and we offer a look forward to the extensions we take up in the sequel to this course....
Globe

100% online courses

Start instantly and learn at your own schedule.
Calendar

Flexible deadlines

Reset deadlines in accordance to your schedule.
Advanced Level

Advanced Level

Clock

Approx. 22 hours to complete

Suggested: 6 weeks of study, 3-5 hours per week...
Comment Dots

English

Subtitles: English...
Globe

100% online courses

Start instantly and learn at your own schedule.
Calendar

Flexible deadlines

Reset deadlines in accordance to your schedule.
Advanced Level

Advanced Level

Clock

Approx. 22 hours to complete

Suggested: 6 weeks of study, 3-5 hours per week...
Comment Dots

English

Subtitles: English...

Syllabus - What you will learn from this course

Week
1
Clock
2 hours to complete

MODULE 1: Key Ideas

...
Reading
4 videos (Total 57 min), 2 readings
Video4 videos
Lesson 1: Causation12m
Lesson 2: Potential Outcome, Unit and Average Effects14m
Lesson 3: Ignorability: Bridging the Gap Between Randomized Experiments and Observational Studies12m
Reading2 readings
Intro Survey10m
Welcome to Module 130m
Week
2
Clock
2 hours to complete

Module 2: Randomization Inference

...
Reading
3 videos (Total 31 min), 1 reading, 1 quiz
Video3 videos
Lesson 2: Testing the Null Hypothesis of No Treatment Effect15m
Lesson 3: Randomization Inference6m
Reading1 reading
Welcome to Module 210m
Quiz1 practice exercise
Module 2: Assessment30m
Week
3
Clock
2 hours to complete

MODULE 3: Regression

...
Reading
3 videos (Total 28 min), 1 reading, 1 quiz
Video3 videos
Lesson 2: Estimating the ATE: A Regression Approach9m
Lesson 3: Estimating the ATE: Regression Analysis with Covariates7m
Reading1 reading
Welcome to Module 310m
Quiz1 practice exercise
Module 3: Assessment30m
Week
4
Clock
2 hours to complete

Module 4: Propensity Score

...
Reading
3 videos (Total 27 min), 1 reading, 1 quiz
Video3 videos
Lesson 2: Estimating the ATE Using Sub-Classification on the Propensity Score9m
Lesson 3: Estimating the ATE Using Inverse Probability of Treatment Weighting7m
Reading1 reading
Welcome to Module 410m
Quiz1 practice exercise
Module 4 Assessment30m

Instructor

Michael E. Sobel

Professor
Department 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

  • 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.

  • 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.

More questions? Visit the Learner Help Center.