Statistics V: Discrete Data - Counts and Proportions (via Webinar)
Date & Time
Registration Closed / Past Event
This is the fifth 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.
How to compare two groups when the response is binary or count data. What happens if we have more than two groups or more than one predictor whether numeric or categorical. We talk about logistic, Poisson and negative binomial regression analysis with an introduction to generalized linear models and show how to interpret the model coefficients in each case.
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.
This session is presented by professional staff from the Applied Statistics and Data Science Group. These staff bring a range of health and wellness knowledge, and experience supporting graduate student research projects.
Registration opens on Monday, February 4 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.