Statistics VI: Introduction to Mixed Effects Models (via Webinar)
Date & Time
Methods like Regression and ANOVA model the mean structure of the observed data while making specific assumptions about the variance. We will demonstrate with examples that ignoring the lack of independence due to repeated measurements on the same unit or clusters of related units may lead to wrong conclusions. We will 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.
This is the 6th workshop in a 6-part statistics series
Statistics is a scientific discipline that enables reaching meaningful conclusions from data. In order to produce trustworthy results, one needs to be able to justify the choice of the statistical methods and models and to validate the underlying assumptions.
The aim of this webinar series is to give an overall review of the statistical concepts behind the various methods in statistical software using examples of various data structures. Interpretations of the results obtained from different statistical tests and models will be discussed. Hence, the aim is not to solve specific project problems.
If you are a graduate student and have questions about your specific project please see (https://asda.stat.ubc.ca/sos/) on how to take advantage of a one-hour free statistical consultation. Each webinar has some self-contained content but some aspects will build on concepts taught in the previous sessions so there is a benefit in attending all the webinars.
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.
Registration opens on Monday, February 17 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.