Explore statistical rethinking in this comprehensive lecture focusing on counts and confounds. Dive into confounded admissions, sensitivity analysis, proxies and factors, and technology with Poisson GLMs. Learn about the innovation/loss model and gain valuable insights into statistical concepts. Access additional course materials, including slides, on GitHub. Enjoy musical interludes throughout the lecture, featuring various YouTube links. Follow along with the structured chapters, starting from the introduction and concluding with a summary and outlook on the topic.
Statistical Rethinking 2022 - Counts & Confounds
Overview
Syllabus
Introduction
Confounded admissions
Sensitivity analysis
Proxies and factors
Technology and Poisson GLMs
Innovation/loss model
Summary and outlook
Taught by
Richard McElreath
