Skip to content
Livestream Seminar

Directed Acyclic Graphs for Causal Inference

A 3-Day Livestream Seminar Taught by

Felix Elwert
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom.

10:00am-2:00pm ET (New York time): Live lecture via Zoom
4:00pm-5:00pm ET: Live lab session via Zoom (Friday and Saturday only)

This seminar offers an applied introduction to directed acyclic graphs (DAGs) for causal inference. DAGs are a powerful new tool for understanding and resolving causal issues in empirical research. DAGs are useful for social and biomedical researchers, and for business and policy analysts who want to draw causal inferences from non-experimental data. A major attraction of DAGs is that they are “algebra-free,” relying instead on intuitive yet rigorous graphical rules.

Starting February 10, we are offering this seminar as a 3-day synchronous*, livestream workshop. Each day will consist of a 4-hour live lecture held via the free video-conferencing software Zoom. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

Each day will include a hands-on exercise to be completed on your own after the lecture session is over. An additional lab session will be held Friday and Saturday afternoons, where you can review the exercise results with the instructor and ask any questions.

*We understand that scheduling is difficult during this unpredictable time. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.

Closed captioning is available for all live and recorded sessions.

More details about the course content

Computing

Who should register?

Seminar outline

Payment information

“I love everything about the course, and enjoyed every minute of the lectures..."

“I love everything about the course, and enjoyed every minute of the lectures—Felix is such a great instructor! I appreciate Statistical Horizons’ effort and will recommend the course to relevant people I know. Thank you, Felix! Thank you, Statistical Horizons!”

X. San Liang

Fudan University

“This class is very interactive with many thought-provoking examples..."

“This class is very interactive with many thought-provoking examples sampled from diverse disciplines. Participants asked terrific questions. The material presented is important and timely. I came away with a number of insights I will now apply to my own research. A number of us have exchanged contact information and will follow each other’s progress on this topic.”

Bill Burns

California State University, San Marcos

“The speaker was very knowledgeable and was able to present concepts in an easy to digest manner..."

“The speaker was very knowledgeable and was able to present concepts in an easy to digest manner, utilizing a set of demonstrative real-life examples. The availability of the class notes beforehand and the Zoom recordings following each session was very helpful, particularly as I was not able to attend the sessions in real-time.”

Trang Pham

The University of Queensland, Child Health Research Centre

“I appreciated the opportunity to interact with Felix..."

“I appreciated the opportunity to interact with Felix, ask questions and pose problems. I also appreciated the ability to attend lectures asynchronously, which I did have to take advantage of on one day.”

Steven Q. Simpson

University of Kansas

“Highly informative, well balanced in terms of the theory..."

“Highly informative, well balanced in terms of the theory and applied aspects of developing non-parametric causal DAGs and causal inference. Very well taught by an expert who is humble, approachable and very passionate about their field.”

Paul Agius

Burnet Institut

“This course is rigorous but very applied..."

“This course is rigorous but very applied. I had already read about this topic but the examples really communicated how to use DAGs.”

John Antel

University of Houston

“Felix is an outstanding instructor...”

“Felix is an outstanding instructor with tremendous expertise.”

Mira Johri

Université de Montréal

“Dr. Elwert’s knowledge on the topic was broad, in depth, and very insightful..."

“Dr. Elwert’s knowledge on the topic was broad, in depth, and very insightful. The numerous examples and interactive format was very helpful in understanding the topic.”

Jong Jeong

University of Pittsburgh