Lecture
This lecture covers the concepts of random effects, model checking, and nested vs. crossed effects in modern regression. It discusses the complexities of handling multiple layers of randomness in statistical models and provides examples related to blood pressure data and rat growth. The lecture also delves into the logical properties of data and the assumptions made in regression modeling.