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Causal Mediation Analysis - Online Course

A 4-Week On-Demand Seminar Taught by

Tyler VanderWeele
Course Dates: Ask about upcoming dates
Schedule:

Each Monday you will receive an email with instructions for the following week.

All course materials are available 24 hours a day. Materials will be accessible for an additional 2 weeks after the official close on June 6.

This seminar will focus on some of the recent developments in causal mediation analysis and will provide practical tools to implement those techniques. Mediation analysis deals with the mechanisms and pathways by which causal effects operate. The course will discuss the relationship between traditional methods for mediation in the biomedical and social sciences and new methods of causal inference for dichotomous, continuous, and time-to-event outcomes.

The course takes place online in a series of four weekly installments of videos, quizzes, readings, and exercises, and requires about 8 hours/week. You may participate at your own convenience; there are no set times when you are required to be online.

This four-week course can be accessed with any recent web browser on almost any platform, including iPhone, iPad, and Android devices. It consists of several modules, which contain videos of the live, 4-day livestream version of the course in its entirety. Each module is followed by a short multiple-choice quiz to test your knowledge. There are also weekly exercises that ask you to apply what you’ve learned to a real data set.

There is also an online discussion forum where you can post questions or comments about any aspect of the course. All questions will be promptly answered by Dr. VanderWeele.

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"I learned far more than I expected..."

“This course is excellent. I learned far more than I expected (and I already had some previous exposure to these methods). Dr. VanderWeele made these complex topics comprehensible and I very much appreciated his focus on teaching us techniques that can be practically implemented in SAS, Stata, R, and SPSS. In addition, his coverage of surrogate outcomes vs. mediators was very thoughtful and an important new area for me. I plan to recommend future sessions of this seminar to my colleagues who are doing or contemplating mediation analyses.”

Tor Neilands

University of California, San Francisco

“Dr. VanderWeele is an excellent teacher..."

“Dr. VanderWeele is an excellent teacher and provides detailed, thorough explanation of mediation analysis in this course. The course is well set up, exposes students to advanced analytical approaches, and provides some excellent guidance on how I can improve my approach in answering the scientific hypotheses of my interests. I took this course for my dissertation research and it has been very helpful in every possible way.”

Ninad Chaudhary

University of Alabama, Birmingham

"The applied assignment allows individuals to apply the newly acquired knowledge..."

“Dr. VanderWeele is an expert in the field of causal mediation analysis and this is a great opportunity to obtain a personal instruction on a new methodology. The applied assignment allows individuals to apply the newly acquired knowledge in a setting where you can receive live feedback from an instructor that is easy to understand. All around great experience.”

Michael Flores

Harvard Medical School / Cambridge Health Alliance

“The course provided practical tips and analytical skills..."

“The course provided practical tips and analytical skills that you can easily understand and apply despite its convoluted concepts and theories. The instructor’s explanation was clear, easy to understand, and free of any jargon. I highly recommend this course to supplement analytical skills.”

Machiko Minegishi

Harvard University

“This course provides a great opportunity to learn causal mediation analysis..."

“This course provides a great opportunity to learn causal mediation analysis and have a hands-on experience with statistical programs. Very helpful feedback from Dr. VanderWeele. Great opportunity to meet researchers with similar interests. Highly recommended!”

Shu Xu

New York University