Logistic Regression

Week 5

Concepts

  • rationale for logistic regression
  • probability and odds ratio
  • the logit function
  • logistic regression model equations
  • fitting a logistic regression model in R
  • interpreting the model coefficients
  • multiple predictor variables and model selection
  • assumptions of logistic regression

Required Readings

  • Chapter 9.5: Logistic Regression from OpenIntro Statistics, 4th Ed. — you will have to download the .pdf file by “buying” it, but you can set your own price, including $0.00

Additional supporting materials