Causal Inference 2

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Course Overview

What You'll Learn

  • This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level.
  • Inferences about causation are of great importance in science, medicine, policy, and business.
  • This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships.

This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. We will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models.

Course FAQs

Is this an accredited online course?

Accreditation for 'Causal Inference 2' is determined by the provider, Columbia University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.

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How do I enroll in this online school program?

To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Causal Inference 2' on the Columbia University online class platform, where you can complete your registration.