December 2016 Member Webinar: A Gentle Introduction to Generalized Linear Mixed Models – Part 2

by guest

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.)

Note: This webinar is an exclusive benefit for members of the Statistically Speaking Membership Program.

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?

It’s never too late to join the hottest stats club around.

Just head over to our enrollment page to sign up for Statistically Speaking.

You’ll get exclusive access to this month’s webinar live, weekly live Q&A sessions, a private stats forum, 60+ recordings of past webinars (including this one), and more.

Leave a Comment

Please note that, due to the large number of comments submitted, any comments on problems related to a personal study/project will not be answered. We suggest joining Statistically Speaking, where you have access to a private forum and more resources 24/7.

Previous post:

Next post: