August 19, 2024
3:00 β 4:30pm
Join us for the βMethods Hub Seminar Series: Accessible Causal Inferenceβ featuring ππ³π°π§π¦π΄π΄π°π³ ππ¦π°π³π¨π¦ ππ¦π³π³π¦π΅π΅! In this seminar, you’ll learn about the advantages of machine learning algorithms for identifying what works for whom and estimating causal effects for observational studies where treatment or intervention is not randomly assigned.
Professor Perrett will also introduce new software to aid the implementation of these approaches. Don’t miss this opportunity to gain insights on causal inference methods for randomized and observational studies.