Causal Inference with AI and Machine Learning – last chance

Hello R-SIG-EPI members

Last chance to join our 4-day seminar Causal Inference with AI and Machine Learning livestreaming January 30?February 2 with Jason Anastasopoulos (School of Public and International Affairs, University of Georgia). This seminar explores causal inference using modern machine learning and AI frameworks, with hands-on application in R. Researchers in epidemiology can leverage these advanced techniques to move beyond mere associations, establishing robust cause-and-effect relationships from complex observational data in their studies. The practical skills in R, combined with LLM-assisted diagnostics and visualization, will enhance the design, validity, and communication of findings for public health interventions and risk factor analyses.

Sign up today (https://instats.org/seminar/causal-inference-with-ai-and-machine-lea) to secure your spot, and please share this opportunity with colleagues and students who might benefit!


Best wishes

Michael Zyphur
Professor and Director
Instats | instats.org