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Multilevel Modeling of Categorical Outcomes - Online Course

A 4-Week On-Demand Seminar Taught by

Donald Hedeker
Course Dates:

Monday, January 13 –
Monday, February 10, 2025

Schedule:

Each Monday you will receive an email with instructions for the following week.

All course materials are available 24 hours a day. Materials will be accessible for an additional 2 weeks after the official close on February 10.

Watch Sample Video

Multilevel models are increasingly used for analysis of clustered and longitudinal data, and methods for continuous outcomes are commonly used and applied. However, many research studies have non-normal outcomes, for example, outcomes that are dichotomous, ordinal, counts, or nominal. Although methods for such non-normal outcomes have been available for quite some time, they are perhaps not as routinely applied as models for continuous outcomes.

This workshop will focus on analysis of dichotomous, ordinal, nominal, and count multilevel outcomes. Both clustered and longitudinal data will be considered, and the following models will be described: multilevel logistic regression for dichotomous outcomes, multilevel logistic regression for nominal outcomes, multilevel Poisson regression for counts, and multilevel proportional odds and non-proportional odds models for ordinal outcomes. The latter models are useful because the proportional odds assumption of equal covariate effects across the cumulative logits of the model is often inconsistent with the data.

The course takes place online in a series of four weekly installments of videos, readings, and exercises, and requires about 6-8 hours/week. You may participate at your own convenience; there are no set times when you are required to be online.

This four-week course can be accessed with any recent web browser on almost any platform, including iPhone, iPad, and Android devices. It consists of several modules, which contain videos of the 4-day livestream version of the course in its entirety. There are also weekly exercises that ask you to apply what you’ve learned to a real data set.

There is also an online discussion forum where participants can post questions or comments about any aspect of the course. All questions will be promptly answered by Dr. Hedeker.

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"I have learned a lot from this seminar!"

“Dr. Hedeker successfully provided a simple explanation of complex topics. I have learned a lot from this seminar! There was a very good selection of examples. Don made the material very easy to understand. He was kind enough to answer every possible question we threw at him.”

Vikas Agrawal

Jacksonville University

“This course was well organized, thorough, and showed how to implement the analyses in both Stata and SAS."

“This course was well organized, thorough, and showed how to implement the analyses in both Stata and SAS. Professor Hedeker is very clear, well organized, and explains things well. He also is great at encouraging and answering questions. The fully worked example analyses are pure gold! They will be incredibly helpful when I return to this material in the future having sadly forgotten the seminar lecture content.”

Nick Huntington

Brandeis University

“The course materials are excellent and the instructor is outstanding!"

“The course materials are excellent and the instructor is outstanding! Dr. Hedeker did a fabulous job answering students’ questions and presenting the material in a clear, organized manner. I appreciated that he was able to cover two different software programs for fitting the models.”

David Francis

University of Houston

"I feel confident working on my analyses with multilevel modeling after taking this course.” 

Dr. Hedeker is an excellent instructor! He made complex analyses so easy to understand. The exercise key and handouts were so simple and easy to follow with great explanations. I feel confident working on my analyses with multilevel modeling after taking this course. 

Shweta Gore

MGH Institute of Health Professions

“It helped me to understand the complex issues related to multilevel models.”

“It was a great experience to take part in this course. It helped me to understand the complex issues related to multilevel models. The eagerness of the tutor to answer all the questions was on an exceptionally high level. I strongly recommend this course to anyone interested in multilevel models.”

Szymon Wójcik

University of Lodz

“Dr. Hedeker put very rich contents into this class."

“Dr. Hedeker put very rich contents into this class. Students are allowed to raise questions at any time through the class. This helps students to catch the important points in a timely manner and get through the learning easily.”

Qin Liu

The Wistar Institute

“... an in-depth discussion of the theory, fitting, and interpretation of multilevel modeling for non-normal data."

“This class offers an in-depth discussion of the theory, fitting, and interpretation of multilevel modeling for non-normal data that does not seem to exist elsewhere. Don puts together and delivers arguably the best short course I’ve ever taken. This course is well worth the time and money.”

Amy Hughes

University of Texas

“... many tips, tricks, nuances, and insights communicated from Don’s many years of experience...”

“I found Don’s course very helpful for advanced as well as intermediate analysis of categorical data in clustered structures. There were many tips, tricks, nuances, and insights communicated from Don’s many years of experience with categorical data problems. I am taking away many helpful strategies for approaching my ongoing projects.”

Andrea Howard

Carleton University