Causal Inference 2

Causal Inference 2

Instructor: Michael E. Sobel

Access provided by New York State Department of Labor

6,321 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

3.4

(14 reviews)

Advanced level

Designed for those already in the industry

5 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

3.4

(14 reviews)

Advanced level

Designed for those already in the industry

5 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

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Assessments

4 assignments

Taught in English

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There are 5 modules in this course

This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master鈥檚 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.

What's included

4 videos2 readings1 assignment

4 videosTotal 36 minutes

Introduction to Causal Inference 25 minutesPreview module
Lesson 1: Mediation and Conditioning on Intermediate Outcomes8 minutes
Lesson 2: Reframing the Problem of Mediation10 minutes
Lesson 3: Identification of Controlled, Average Direct and Indirect Effects12 minutes