Hosted by the GPH Department of Biostatistics
Selective inference and irrelevant variability are two statistical issues hindering replicability across science. As part of the Biostatistics Seminar Series, Professor Yoav Benjamini will review the first in the context of secondary endpoint analysis in clinical and epidemiological research which will lead into a discussion on the debate about p-values and statistical significance and the politics involved. He will present practical approaches that seem to accommodate the concerns of NEJM editors, as reflected in their guidelines; and will also discuss more briefly the issue of addressing the relevant variability, in the context of preclinical animal experiments, and the implication of this work about assessing replicability in meta-analysis. Major parts of this work were done jointly with Iman Jaljuli, Orestis Panagiotou and Ruth Heller.
About the Speaker
Yoav Benjamini is the Nathan and Lily Silver Professor of Applied Statistics at the Department of Statistics and Operations Research at Tel Aviv University. He holds a BSc in Physics, and BSc and MSc in Mathematics from the Hebrew University (1976), and PhD in Statistics from Princeton University (1981). He is a member of the Sagol School of Neuroscience and the Edmond Safra Bioinformatics Center. He was a visiting professor at University of Pennsylvania, University of California Berkeley, Stanford University, and Columbia University. Professor Benjamini is a co-developer of the widely used and cited False Discovery Rate concept and methodology. His research topics are selective and simultaneous inference, replicability and reproducibility in science, and data mining, with applications in Biostatistics, Bioinformatics, Animal Behavior, Brain Imaging and Health Informatics. He is a member of the Israel Academy of Sciences and Humanities and a recipient of the Israel Prize in Statistics and Economics and the Karl Pearson Prize of the International Statistical Institute.
Registration for in-person attendance for NYU community members is not required at this time. Non-NYU attendees/visitors are not invited at this time to attend in person as this requires pre-approval. Instead please join us remotely on Zoom.