A binary variable is one that has only two possible outcomes, such as yes/no, success/failure, or 0/1. In this workshop, participants will learn how to estimate and make inferences about binary response probabilities using logistic regression, a powerful tool widely used in various fields such as healthcare, marketing, and social sciences. Topics include:
- The logistic regression model
- Model assumptions
- Interpretation of coefficients
- Significance testing
- Interactions between variables
- Use and interpretation of dummy variables
- Model checking methods (residual plots, goodness-of-fit tests)
- Model selection methods
Practical applications will be a key focus, demonstrating how logistic regression can be used to predict outcomes like disease presence, customer purchase behavior, and more.
Registration is free and open to all University of À¶Ý®ÊÓƵ faculty, staff, and graduate students.
The workshop will feature computer work using R. Participants are encouraged to bring their own laptops with R and RStudio installed.
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