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On-Demand Seminar

Treatment Effect Analysis

An On-Demand Seminar Taught by

Stephen Vaisey
Course Dates: Ask about upcoming dates
Schedule:

Each Monday you will receive an email with instructions for the following week.
All course materials are available 24 hours a day. Materials will be accessible for an additional 2 weeks after the official close on January 3.

This seminar focuses on matching and weighting cross-sectional observational data to obtain better causal estimates of treatment effects. The most common technique for estimating such effects is propensity score matching. We will cover this technique but you’ll soon see that it is just the tip of the iceberg; there are many, many more things you can do to extract key insights from cross-sectional observational data.

The course takes place online in a series of four weekly installments of videos, quizzes, and assignments, and requires about 6-8 hours/week. You may participate at your own convenience; there are no set times when you are required to be online.

This four-week course can be accessed with any recent web browser on almost any platform, including iPhone, iPad, and Android devices. It consists of 12 modules:

  1. The Potential Outcomes Framework
  2. Computing Treatment Effects Manually
  3. Exact Matching
  4. Propensity Scores
  5. Propensity Score Matching
  6. Balancing Checking
  7. Inverse Probability Weighting
  8. Covariate Balancing Propensity Scores and Entropy Balancing
  9. Coarsened Exact Matching
  10. Doubly Robust Estimation
  11. Adding Regression Adjustment
  12. Loose Ends and Extensions

Each module consists of a video segment recorded from the remote 3-day version of the course. The modules contain all the lectures and slides from that course.

After each module there is a short multiple-choice quiz to test your knowledge. There are also exercises in which you can apply what you’ve learned to a real data set. An online discussion forum is available for you to post questions or comments about any aspect of the course. All questions will be answered by Dr. Vaisey in a timely manner.

To watch a sample video, click here.

More details about the course content

Computing

Who should register?

Registration instructions

“Stephen Vaisey is a gifted instructor."

“Stephen Vaisey is a gifted instructor. He is both able to explain advanced concepts in a simple, clear manner and to make you laugh while he is doing it. This class is useful for any researcher who wants to improve their ability to make causal speculation with their research. I highly recommend this class and any that Stephen teaches.”

Dennis Reidy

Georgia State University

“The course covered an extremely complex topic clearly..."

“The course covered an extremely complex topic clearly and with a hands-on approach. I had taken a broader causal inference course before this, but I felt like this course really gave me the tools to conduct my own treatment effect analyses! Professor Vaisey was so good at making me think about these techniques through a research framework and how our research questions should really guide us towards what method to use.”

 

Daniel Stephens

Truth Initiative

"It was a great course and I was very happy I took it."

“I highly recommend this course. This is the second Statistical Horizons course I have taken. The first was on-site in Philadelphia a few years ago. It was a great course and I was very happy I took it. However, the online format is so much better. One gets the same lectures that are delivered on site, the same materials, given by the same top-rate instructors. The difference is that one can go through the materials at their own rate and take the time to process material before moving on to the next subject. Further, there is ample opportunity to interact with the instructor via email and the discussion forum. I am totally sold on this format and have already told Statistical Horizons to keep me updated about future online courses.”

Bob Reed

University of Canterbury