A 1 hour online event, that includes a presentation followed by Q&A.
This talk will explore the “replication crisis” in science, focusing on how testing large numbers of hypotheses can lead to false positive findings. It introduces key statistical approaches—False Discovery Rate (FDR) and shrinkage methods—to address this issue, and explains their conceptual foundations and connections. The session will also highlight how these tools can be understood within an empirical-Bayesian framework, linking significance testing with effect size estimation.