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Statistical Methods for Causal Inference

Statistical Methods for Causal Inference

Entry requirements

Who can join?

This course is on Master's/PhD level but open to Advanced Bachelor's students and working professionals, across all disciplines in quantitative social sciences. These include business, criminology, economics, econometrics, education, environmental sciences, finance, health sciences, international studies, psychology, public policy, political science, social policy, sociology, and statistics, all broadly defined. 

Participating students are expected to have prior knowledge of regression analysis and hypothesis testing. If you do not have this knowledge, you can still participate in this course by additionally following the VU Amsterdam Summer School course Data Analysis in R in a previous session. Prior coding experience specifically in R is preferred but is not a prerequisite of the course.

All students must bring their own laptops to the course. Laptop should be capable of running R Studio.

If you have doubts about your eligibility for the course, please contact us: amsterdamsummerschool@vu.nl. 

We are open for applications! Find all information on how to apply on our application page and apply now via our form

Find out more about:

Team VU Amsterdam Summer School

We are here to help!

Skype: by appointment via amsterdamsummerschool@vu.nl

Contact

  • Yota
  • Programme Coordinator
  • Celia
  • Summer and Winter School Officer
Celia VU Amsterdam Summer & Winter School
  • Esther
  • Summer and Winter School Officer