Logistic Regression (Advanced Data Analysis from an Elementary Point of View)

Modeling conditional probabilities; using regression to model probabilities; transforming probabilities to work better with regression; the logistic regression model; maximum likelihood; numerical maximum likelihood by Newton's method and by iteratively re-weighted least squares; comparing logistic regression to logistic-additive models.

Reading: Notes, chapter 12; Faraway, chapter 2 (skipping sections 2.11 and 2.12)