Generalized linear mixed models (GLMMs) are incredibly useful tools for working with complex, multi-layered data. But they can be tough to master.
In this follow-up to October’s webinar (“A Gentle Introduction to Generalized Linear Mixed Models – Part 1”), we’ll cover important topics like:
– Distinction between crossed and nested grouping factors
– Software choices for implementation of GLMMs
– Estimation methods for GLMMs – and the pros and cons of each
– Interpretation pitfalls for GLMMs
– Measures of model fit for GLMMs
– Model diagnostics for GLMMs
– Resources for learning more about GLMMs
With the help of practical examples, you’ll learn the major issues involved in working with GLMMs and how to incorporate these models into your own work.
(Note: You will have access to October’s webinar recording to watch or re-watch it in preparation for this month’s webinar.)
Date and Time
Wednesday, December 14, 2016, from 3 pm – 4:30 pm (US EST)
(In a different time zone?)
About the Instructor
Dr. Isabella Ghement is the principal of Ghement Statistical Consulting Company Ltd., an independent statistical consulting and training firm in Richmond, British Columbia, Canada.
Isabella has presented a number of R and advanced regression short courses at conferences and universities. She is a member of the Steering Committee for the American Statistical Association’s Conference on Applied Statistical Practice 2017, where she chairs the Short Courses and Tutorials Sub-Committee.
Isabella obtained her Ph.D. in Statistics from the University of British Columbia.
Not a Member Yet?
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Just head over to our enrollment page to sign up for Statistically Speaking (formerly Data Analysis Brown Bag).
You’ll get exclusive access to this month’s webinar on GLMMs, plus live Q&A sessions, video recordings of all the month’s content, and more.
- October 2016 Member Webinar: Generalized Linear Mixed Models
- May 2017 Member Webinar: Crossed and Nested Factors
- May 2016 Member Webinar: Communicating Statistical Results: When to use tables vs graphs to tell the data’s story
- November 2015 Membership Webinar: Mixture Models in Longitudinal Data Analysis