Inference for Categorical Variables
effect modification vs confounding
looks at two binary categorical variables while adjusting for the value of a third categorical variable
NOTE: one-sample single proportion test gives a 95% CI – $\Chi^2$ does not!
Joint, Marginal and Conditional Probabilities
to assess a paired difference