Statistics VI: Introduction to Mixed Effects Models (via Webinar)
Date & Time
This is the sixth and last workshop in a 6-part statistics series.
NOTE: Due to the large # of statistical software available, this session will not be about any specific software but, rather, the methodology behind the software.
Methods like Regression and ANOVA model the mean structure of the observed data while making specific assumptions about the variance. Ignoring the lack of independence due to repeated measurements on the same unit or clusters of related units may lead to wrong conclusions. We show how mixed effects models are used in such cases to model the variance structure of the data as well as the mean.
Want to get an idea of what to expect? Check out the video below for a teaser from last year's session.
The Applied Statistics and Data Science Group (ASDa; asda.stat.ubc.ca) in the UBC Department of Statistics provides assistance in the statistical formulation of research questions, the design of experiments and sampling plans for surveys, the choice and explanation of statistical methodology, statistical computing and graphics, statistical analysis, the interpretation of findings, and more. ASDa also plays a role in continuing education on and off the UBC campus, giving seminars and workshops on statistical concepts and methodology to various departments and research groups and at teaching hospitals.
Biljana Jonoska Stojkova. Biljana has been a statistical consultant with ASDa since June 2017. She has recently completed her PhD in Statistics at SFU, where she focused on developing Bayesian algorithms. During her studies she held numerous teaching assistant positions in introductory and high-level statistical courses.
Registration opens on Monday, February 18 at 9:00am.
Priority will be given to UBC graduate students registered in the current academic session. After registering, you will receive confirmation and additional event details within 2 business days at the e-mail associated with your community.grad.ubc.ca account. If you experience any difficulty using the online registration tool, please e-mail us at firstname.lastname@example.org.