Statistics V: Logistics and Poisson Regression (via Webinar)
Date & Time
Learn about generalized linear models (GLM) for categorical and count outcomes. Necessary for understanding and using these models, the following will be covered:
- interpretation of odds, odds ratios and rate ratios
- variable “exposure” times
- negative binomial regression
- considerations for Likert scale outcomes
- handling excess zeros
Check out the video below for a teaser from a previous session:
This is the 5th workshop in a 6-part series focused on the foundations of statistics.
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, January 11th 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 email@example.com.