Logistic Regression: Modeling Binary Response Variables

This lecture covers logistic regression, a statistical model used to analyze binary response variables. Topics include the exponential family, generalized linear models, logistic regression for horseshoe crab data, odds ratio interpretation, model inference, and parameter estimation. The lecture also discusses the logit transformation, link functions, model fitting, maximum likelihood estimation, confidence intervals, and the relationship between logistic regression and the binomial distribution.