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Treatment Effects Analysis - Online Course

A 3-Day Livestream Seminar Taught by

Stephen Vaisey
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:00am-2:00pm ET (New York time): Live lecture via Zoom
3:00pm-4:00pm ET: Live “office hour” via Zoom (Thursday and Friday only)

This course offers an in-depth survey of a family of techniques known as treatment-effects estimators. Treatment-effects analysis is a quasi-experimental technique for estimating causal effects from observational data using the potential outcomes or counterfactual framework. These techniques — which include propensity-score matching, inverse probability weighting, and “doubly-robust” estimators — are now widely used in the social sciences, health sciences, and public policy.

The goal of treatment-effects analysis is to identify the causal effect of a treatment on an outcome, such as the effect of a college education on earnings, the effect of divorce on child outcomes, or the effect of a training program on employee productivity. A major advantage of treatment-effects techniques over standard regression methods is that they can produce different estimates of causal effects for subjects who are likely to receive the treatment and for those who are unlikely to receive it, an important distinction for policy work.

Starting November 12, we are offering this seminar as a 3-day synchronous*, remote workshop for the first time. 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 lecture session will conclude with a hands-on exercise reviewing the content covered, to be completed on your own. An additional session will be held Thursday and Friday afternoons as an “office hour”, 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 one week after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

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"... I’ve gained a greater understanding and more confidence about applying treatment effects analysis..."

“I’ve been confounded by studying propensity score matching on my own – there are many methods to apply, and thick books and articles, which is discouraging. During this 2-day course, I’ve gained a greater understanding and more confidence about applying treatment effects analysis to the observational data I analyze. Steve, the instructor, makes the methods, programs, and interpretation of results very clear. He is a gifted teacher!”

Philip Ituarte

City of Hope

“This course is a great way to learn or enhance your knowledge..."

“This course is a great way to learn or enhance your knowledge about treatment effects. Steve did a great job in explaining the basics and incorporating the most updated research in this area.”



“Steve is a fantastic teacher."

“Steve is a fantastic teacher. The material is very well-presented, clear, yet concise. Steve presents the concepts of matching and creates balance among treatment groups in a way that is immediately applicable to your own research! I highly recommend the course as it is the best course I have ever taken!”

Michael Bowdish

University of Southern California

"The instructor was clear and provided good examples..."

“This course not only introduced me to a new way of approaching analysis of observational studies, but clearly explained rationale. The instructor was clear and provided good examples ranging from simple to more complex.”

Colleen Azen

Children’s Hospital Los Angeles

"I liked Steve’s approach and found it to be really accessible..."

“I’ve taken this associated material from Alberto Abadie, Jens Hainmueller, and Don Rubin (all big hitters in this subject). I wanted a hands-on, applied refresher of this material. I liked Steve’s approach and found it to be really accessible, like all of my experiences with your training. In fact, I wish I had taken Steve’s class before the instructors listed above. Theory and equations are always nice and have their place, but most clinicians want to know how to properly implement a procedure the next day in the workplace. Believe me, I understand the challenge to balance the technical with the applied!”

Matthew Jones

Walden University