Draw Your Assumptions Before Your Conclusions

By: Harvard University
Duration: 9 Weeks

Course Name: Causal Diagrams: Draw Your Assumptions Before Your Conclusions

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

Causal diagrams have revolutionized the way in which researchers ask: Does X have a causal effect on Y?

They have become a key tool for researchers who study the effects of treatments, exposures, and policies. By summarizing and communicating assumptions about the causal structure of a problem, causal diagrams have helped clarify apparent paradoxes, describe common biases, and identify adjustment variables.

As a result, a sound understanding of causal diagrams is becoming increasingly important in many scientific disciplines.

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Course ByInstructor
Harvard UniversityMiguel Hernán

Course Details

The first part of this course is comprised of five lessons that introduce the theory of causal diagrams and describe its applications to causal inference.

The fifth lesson provides a simple graphical description of the bias of conventional statistical methods for confounding adjustment in the presence of time-varying covariates.

The second part of the course presents a series of case studies that highlight the practical applications of causal diagrams to real-world questions from the health and social sciences.

What you will learn?

  • 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

Other Details

Course Instructor

Miguel Hernán: Kolokotrones Professor of Biostatistics and Epidemiology, Harvard University

Check Course Content, Faqs, Rating and other important information about this course.

Details here


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