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Livestream Seminar

Propensity Score Analysis: Basics

A 3-Day Livestream Seminar Taught by

Shenyang Guo
Course Dates:

Thursday, September 15 –
Saturday, September 17, 2022

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

10:00am-12:30pm ET (convert to your local time)
1:30pm-4:00pm ET Thursday, 1:30pm-3:30pm ET Friday & Saturday

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.

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 September 15, 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.

More details about the course content

Computing

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Seminar outline

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“I got a good theoretical grounding into why someone would want to conduct a propensity score analysis..."

“I got a good theoretical grounding into why someone would want to conduct a propensity score analysis and how to decide between different models. I also appreciated the R code resources.”

Emma Bullock

Sam Houston State University

“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

"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

"... this course is a must-attend class."

“If you are interested in propensity score analysis, this course is a must-attend class.”

Hoon Kim

Bloomberg School of Public Health, Johns Hopkins University

"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 concept 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