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Causal Inference 2
  • Level Expert
  • Course by Columbia University
  • Offered by

About

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.

Modules

Introduction to Part 2

    • 1 Videos
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1 Videos

  • Introduction to Causal Inference 2

Welcome to Module 7

    • 1 Readings
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1 Readings

  • Welcome to Module 7

Intro Survey

    • 1 Readings
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1 Readings

  • Intro Survey

Module 7, Lesson 1: Mediation and Conditioning on Intermediate Outcomes

    • 1 Videos
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1 Videos

  • Lesson 1: Mediation and Conditioning on Intermediate Outcomes

Module 7, Lesson 2: Reframing the Problem of Mediation

    • 1 Videos
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1 Videos

  • Lesson 2: Reframing the Problem of Mediation

Module 7, Lesson 3: Identification of Controlled, Average Direct and Indirect Effects

    • 1 Videos
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1 Videos

  • Lesson 3: Identification of Controlled, Average Direct and Indirect Effects

Module 7: Assessment

    • 1 Assignment
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1 Assignment

  • Module 7

Welcome to Module 8

    • 1 Readings
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1 Readings

  • Welcome to Module 8

Module 8, Lesson 1: Estimation of Mediated Effects

    • 1 Videos
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1 Videos

  • Lesson 1: Estimation of Mediated Effects

Module 8, Lesson 2: Sensitivity Analyses for Mediation

    • 1 Videos
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1 Videos

  • Lesson 2: Sensitivity Analyses for Mediation

Module 8, Lesson 3: Instrumental Variables with a Continuous Treatment

    • 1 Videos
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1 Videos

  • Lesson 3: Instrumental Variables with a Continuous Treatment

Module 8: Assessment

    • 1 Assignment
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1 Assignment

  • Module 8: Assessment

Welcome to Module 9

    • 1 Readings
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1 Readings

  • Welcome to Module 9

Module 9, Lesson 1: Instrumental Variables and the Complier Average Causal Effect

    • 1 Videos
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1 Videos

  • Lesson 1: Instrumental Variables and the Complier Average Causal Effect

Module 9, Lesson 2: Principal Stratification

    • 1 Videos
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1 Videos

  • Lesson 2: Principal Stratification

Module 9, Lesson 3: Regression Discontinuity

    • 1 Videos
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1 Videos

  • Lesson 3: Regression Discontinuity

Welcome to Module 10

    • 1 Readings
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1 Readings

  • Welcome to Module 10

Module 10, Lesson 1: The g-formula

    • 1 Videos
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1 Videos

  • Lesson 1: The g-formula

Module 10, Lesson 2: Marginal Structural Models

    • 1 Videos
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1 Videos

  • Lesson 2: Marginal Structural Models

Module 10, Lesson 3: Structural Nested Mean Models and g-estimation

    • 1 Videos
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1 Videos

  • Lesson 3: Structural Nested Mean Models and g-estimation

Module 10: Assessment

    • 1 Assignment
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1 Assignment

  • Module 10: Assessment

Welcome to Module 11

    • 1 Readings
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1 Readings

  • Welcome to Module 11

Module 11, Lesson 1: Introduction to Interference

    • 1 Videos
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1 Videos

  • Lesson 1: Introduction to Interference

Module 11, Lesson 2: Interference Continued

    • 1 Videos
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1 Videos

  • Lesson 2: Interference Continued

Module 11, Lesson 3: Fixed Effects Regressions in Econometrics

    • 1 Videos
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1 Videos

  • Lesson 3: Fixed Effects Regressions in Econometrics

Module 11: Assessment

    • 1 Assignment
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1 Assignment

  • Module 11: Assessment

Exit Survey

    • 1 Readings
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1 Readings

  • Exit Survey

Auto Summary

Explore advanced causal inference with this expert-level course, ideal for those in science, medicine, policy, or business. Delve into mediation, principal stratification, and more, guided by Coursera. Available with Starter or Professional subscriptions.

Michael E. Sobel
Instructor

Michael E. Sobel