The Statistics Wars and Their Casualties
Session 1 (September 22, 2022)
Deborah Mayo (Virginia Tech)
The Statistics Wars and Their Casualties (Abstract)
Richard Morey (Cardiff University)
Bayes factors, p values, and the replication crisis (Abstract)
Slide show is posted on his webpage here.
Stephen Senn (Edinburgh Scottland): The replication crisis: are P-values the problem and are Bayes factors the solution? (Abstract)
Session 2 (September 24, 2022)
Daniël Lakens (Eindhoven University of Technology)
The role of background assumptions in severity appraisal (Abstract)
Christian Hennig (University of Bologna)
On the interpretation of the mathematical characteristics of statistical tests (Abstract)
Yoav Benjamini (Tel Aviv University)
The two statistical cornerstones of replicability: addressing selective inference and irrelevant variability (Abstract)
One thought on “The Statistics Wars & Their Casualties: Slides from Sessions 1 & 2”
During Yoav’s talk he mentioned that hierarchical modelling can address relevant variability, and that this is often ignored by frequentist methods.
Can someone clarify what he meant by relevant variability?
I would also be interested in hearing what frequentist methods you can use to address it.