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Propensity Score Analysis: Basics - Online Course

A 3-Day Livestream Seminar Taught by

Shenyang Guo
Course Dates:

Thursday, October 3 –
Saturday, October 5, 2024

Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:00am-12:30pm (convert to your local time)

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NOTE: this course is designed for those who have no previous experience with propensity score analysis. If you are looking to learn more advanced methods, check out Propensity Score Analysis: Advanced.

Propensity score analysis is a relatively new and innovative class of statistical methods that has proven useful for evaluating the effects of treatments or interventions when using nonexperimental or observational data. Although regression analysis is most often used to adjust for potentially confounding variables, propensity score analysis is an attractive alternative. Results produced by propensity score methods are typically easier to communicate to lay audiences. And propensity score estimates are often more robust to differences in the distributions of the confounding variables across the groups being compared. Most important, in PSA we model the assignment to treatment without knowledge of the outcomes, thereby ensuring the objectivity of the design.

This seminar will focus on basics of running propensity score analysis. By taking this seminar, you will learn how to use logistic regression and generalized boosted regression to estimate propensity scores, and how to use the estimated propensity scores to run propensity score matching and related models. 

Starting October 3, we are offering this seminar as a 3-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. 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.

*We understand that finding time to participate in livestream courses can be difficult. 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. Captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

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"I liked the insight into the latest developments in the fast-moving field of propensity score analysis."

“This course was both a challenge and inspiration. I was able to think deeply about how to estimate causal effects. I liked the insight into the latest developments in the fast-moving field of propensity score analysis. I appreciated the passion and enthusiasm of the lecturer. The extensive course notes, materials, and good suggestions for further reading were all great!” 

Catherine Bunting

University College London

"I have some important concrete takeaways about PSM that I can now easily apply in my future work.” 

You can tell Dr. Guo is very knowledgeable about this subject. I really appreciated how willing he was to explain the content and answer all of the questions. I have some important concrete takeaways about PSM that I can now easily apply in my future work. 

Priyanka Patel


“Dr. Guo was an excellent instructor..."

“Dr. Guo was an excellent instructor – He is very knowledgeable and insightful. I really appreciate all the lesson materials that he has created that are very organized and easy to follow. I am also grateful for the R and STATA codes that he created and shared with us which are the most beneficial.”

Jackie Relyea

North Carolina State University

“Dr. Guo provided a lot of theory...” 

“I liked that there were many examples and that Dr. Guo provided a lot of theory as well as his own opinion. 

Tricia Johnson

Rush University

"The sessions are dynamic and interactive."

“I highly recommend this course; it is very interesting. The sessions are dynamic and interactive. The instructor is accessible and explains the content very well. Personally, it was of great help to continue my research.”

Genaro Cruz

Autonomous Metropolitan University at Mexico City

“Dr. Guo did an excellent job communicating complicated material..."

“Dr. Guo did an excellent job communicating complicated material in a way that was easily understandable and applicable to our real-world everyday work. Thank you for a great course.”

Andrew Brown

Ottawa County Recovery Court

"The professor is great at explaining complex concepts..."

“Extremely helpful! The professor is great at explaining complex concepts and making the discussion very interesting.”

Carmen Capo-Lugo

University of Alabama at Birmingham

"Dr. Guo’s course is effectively organized and encourages students to think critically..."

“Professor Guo explained concepts clearly and he is an amazing teacher! He beautifully articulated the challenging concepts in an easy way. What I really appreciated about this course is Dr. Guo’s deep knowledge on propensity score analysis. He effectively used his project as an example and this was very helpful to think about how to analyze and present the data. Dr. Guo’s course is effectively organized and encourages students to think critically about the methods. He is very passionate and kind and frequently cites great articles!”

Jane Lee

Boston University