Statistical Rethinking 2022 - Elemental Confounds
Offered By: Richard McElreath via YouTube
Course Description
Overview
Explore the concept of elemental confounds in statistical analysis through this comprehensive lecture. Delve into key topics including the fork, pipe, collider, and descendant confounds, as well as unobserved confounds. Learn how these elements can impact statistical reasoning and interpretation of data. Gain insights from Richard McElreath's expertise as he breaks down complex concepts into digestible segments. Access additional course materials, including slides, through the provided GitHub repository link. Enhance your understanding of statistical rethinking with this in-depth exploration of confounding factors in data analysis.
Syllabus
Introduction
Elemental Confounds
The Fork
The Pipe
Intermission
The Collider
The Descendant
Unobserved Confounds
Taught by
Richard McElreath
Related Courses
Introduction to Operations ManagementWharton School of the University of Pennsylvania via Coursera Computational Molecular Evolution
Technical University of Denmark (DTU) via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)
The Chinese University of Hong Kong via Coursera Fundamentals of Clinical Trials
Harvard University via edX Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax