Statistical Rethinking 2023 - Elemental Confounds
Offered By: Richard McElreath via YouTube
Course Description
Overview
Explore the fundamental concepts of causal inference in this comprehensive lecture on elemental confounds from the Statistical Rethinking 2023 course. Delve into key topics including the Fork, simulating interventions, the Pipe, the Collider, and the Descendant. Learn how to identify and address these confounding factors in statistical analysis, and gain insights into their impact on causal relationships. Discover practical techniques for simulating interventions and interpreting results. Conclude with a summary and outlook on the importance of understanding elemental confounds in statistical reasoning and decision-making processes.
Syllabus
Introduction
The Fork
Simulating interventions
Pause
The Pipe
The Collider
The Descendant
Summary and outlook
Taught by
Richard McElreath
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX