Causal Inference with a Graphical Approach
Have you ever had questions such as “What is the difference between causal inference and predictions?”, “How should we decide which variables to control for to measure a causal effect?”, or “What is selection bias after all?” If the answer is yes, this online workshop is for you.
A graphical approach to causal inference is a powerful tool to understand many issues in causal inference and to express your causal model and translate it into an empirical model.
To attend this online workshop, please register at:
No previous knowledge of causal inference is required to attend the workshop.
This event is organized by Dr Akisato Suzuki in collaboration with the UCD Connected_Politics Lab.
Instructor: Dr Akisato Suzuki (Irish Research Council Postdoctoral Fellow, School of Politics and International Relations, University College Dublin)
Date: 15:00-17:00 IST on Monday 22nd June 2020
Location: A link to the workshop will be sent via email in advance.