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Harvard University - Causal Diagrams: Draw Your Assumptions Before Your Conclusions 

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Causal Diagrams: Draw Your Assumptions Before Your Conclusions
 at 
edX 
Overview

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

Duration

17 hours

Start from

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Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Beginner

Official Website

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Credential

Certificate

Causal Diagrams: Draw Your Assumptions Before Your Conclusions
 at 
edX 
Highlights

  • Earn Shareable Certificate
  • Instructor - Miguel Hern¡n
  • Effort : 2-3 hours per week
  • Pursue a Verified Certificate to highlight the knowledge and skills you gain for ? 7,482
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Causal Diagrams: Draw Your Assumptions Before Your Conclusions
 at 
edX 
Course details

Skills you will learn
Who should do this course?
  • This course is designed for those who want to learn about causal diagrams and its applications to causal inference
More about this course
  • The first part of this course is comprised of seven lessons that introduce causal diagrams and its applications to causal inference. The first lesson introduces causal DAGs, a type of causal diagrams, and the rules that govern them. The second, third, and fourth lessons use causal DAGs to represent common forms of bias. The fifth lesson uses causal DAGs to represent time-varying treatments and treatment-confounder feedback, as well as the bias of conventional statistical methods for confounding adjustment. The sixth lesson introduces SWIGs, another type of causal diagrams. The seventh lesson guides learners in constructing causal diagrams. 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.
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Causal Diagrams: Draw Your Assumptions Before Your Conclusions
 at 
edX 
Curriculum

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

Causal Diagrams: Draw Your Assumptions Before Your Conclusions
 at 
edX 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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