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Propensity Score Analysis: Advanced - Online Course

A 4-Day Livestream Seminar Taught by

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

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

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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. This seminar is a follow-up of Propensity Score Analysis: Basics. By taking this seminar, you will learn advanced methods of propensity score analysis, including kernel-based matching, propensity score subclassification (i.e., running PSA in conjunction with survival analysis or other outcome models), propensity score analysis of categorical or continuous treatments (i.e., dosage analysis), and Rosenbaum sensitivity analysis of hidden selections.

Starting June 20, we are offering this seminar as a 4-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. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

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"Dr. Guo, is a leading authority in this area and his expertise clearly shone through."

“The course was a perfect blend of the theory behind propensity score analysis and the steps needed to undertake it in software like R and Stata. The instructor, Dr. Guo, is a leading authority in this area and his expertise clearly shone through.” 

Navendu Shekhar