Statistics VI: Introduction to mixed effects models (Via Webinar)
Date & Time
Registration Closed / Past Event
This is the sixth 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. Mixed effects models allow us to model the variance structure of the data as well as the mean. Data that contain repeated measurements on the same statistical unit or clusters of related statistical units are examples when mixed effects models should be used.
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 26th at 9:00am.
Priority will be given to UBC graduate students registered in the current academic session. Confirmation of registration will be sent within two working days. Technical information on how to access the webinar will be provided with registration. If you experience any difficulty using the online registration tool, please send a message to: email@example.com