Data Analysis
Beginner
Causal Diagrams: Draw Your Assumptions Before Your Conclusions
Causal Diagrams: Draw Your Assumptions Before Your Conclusions
5.0
(1 reviews)
1
Students
4
Lessons
ID
Language
Created by
Miguel Hernán
Language
id
Translations
None
Transcripts
English
Prerequisites
None
What you'll learn
Master these skills and apply them to real-world projects.
How to translate expert knowledge into a causal diagram
How to draw causal diagrams under different assumptions
Using causal diagrams to identify common biases
Using causal diagrams to guide data analysis
Course curriculum
2 sections · 4 lessons
2
Sections
4
Lessons
1
Reviews
1
Students
5.0
Rating
Materi 2.1: Nihil ut vero nihil maiores laboriosam.
Materi 2.2: Tempore qui iure tempore velit quia.
About this course
Course description
Meet your instructor
Learn from an industry expert
Miguel Hernán
Kolokotrones Professor of Biostatistics and Epidemiology at Harvard University
Student reviews
What learners say about this course
"Hic non sint et sed quia recusandae temporibus quis."
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