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Livestream Seminar

Multilevel and Mixed Models Using Stata

A 3-Day Livestream Seminar Taught by

Stephen Vaisey
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 (Thursday and Friday only)

This seminar provides an intensive introduction to multilevel models, a class of regression models for data that have a hierarchical (or nested) structure. Common examples of such data structures are students nested within schools or classrooms, patients nested within hospitals, or survey respondents nested within countries.

Using regression techniques that ignore this hierarchical structure (such as ordinary least squares) can lead to incorrect results because such methods assume that all observations are independent. Perhaps more important, using inappropriate techniques (like pooling or aggregating) prevents researchers from asking substantively interesting questions about how processes work at different levels.

Starting March 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 Thursday and Friday 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.

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"This course was excellent..."

“This course was excellent. I’ve read MLMM articles, I’ve read MLMM books, and I’ve taken an MLMM course from a different company. This course was more valuable than all of that because professor Vaisey provides a strong and coherent conceptual framework for thinking about MLMM’s, and for how to address multilevel research questions through an MLMM analysis. While the course covers the particular syntax to run to produce models, the emphasis is really on how to fruitfully think about these things so that one can obtain proper models addressing one’s question of interest. Professor Vaisey has it all at his fingertips and is really good at explaining and illustrating statistical concepts, both verbally and through demonstrations in code.”


Nick Huntington

Brandeis University

"This course was the perfect balance..."

“This course was the perfect balance between giving me an overall view of what multilevel and mixed models do, and practical applications. Steve Vaisey’s high energy delivery, sense of humor, and overall brilliance made this course engaging and impactful for me. Highly, highly recommended!”


Bob Reed

University of Canterbury

"... I highly recommend this course to anyone interested in this topic..."

“Fantastic course! I am a post-doctoral research fellow, so I have some prior stats training, although I am new to these multi-level methods. The course was taught in a way that someone new to the method could still get a lot out of the course, and advanced enough that some seemingly more advanced students could also still learn. The course was well-organized and thoughtfully-planned, and effectively used the Zoom and Slack platforms. The instructor, Dr. Vaisey, is a fantastic teacher – I really appreciated how well he integrated didactic material with ‘hands-on’ instruction on Stata. He is certainly an expert in the field, and taught the material and answered the many questions from students in a straightforward, engaging, and effective way. Overall, I highly recommend this course to anyone interested in this topic, and I look forward to taking future courses with Dr. Vaisey and with Statistical Horizons.”

Jackelyn Boyden

Children’s Hospital of Philadelphia