Statistics V: Discrete data: counts and proportions
Date & Time
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.
About The Applied Statistics and Data Science Group
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.
Carolyn Taylor works with ASDa as a Statistical Consultant and has served in this role with the Department of Statistics for 18 years since completing her MSc degree in Statistics at SFU. She works with Statistics professors, Industry research partners and Government agencies on problem formulation, study design, data management, method development and implementation. She continues to support investigators and students on the second of two 5-year industry collaborative research and development grants.
Registration opens Tuesday, February 14th 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. If you experience any difficulty using the online registration tool, please send a message to: email@example.com