When:
Wednesday, October 18, 2017
11:00 AM - 12:00 PM CT
Where: 617 Library Place, Evanston, IL 60208 map it
Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students
Cost: Free
Contact:
Kisa Kowal
(847) 491-3974
Group: Department of Statistics and Data Science
Category: Academic
Time: 11:00 a.m.
Speaker: Victoria Stodden, Associate Professor, University of Illinois at Urbana-Champaign
Place: 617 Library Place
Abstract: Statistical discovery is increasingly taking place using data not collected by the discoverers and often completely in silico. This calls on new considerations of methods and computational infrastructure that support statistical pipelines. In this talk I present a novel framework for statistical analysis of "organic data" as opposed to "designed data" (Kreuter & Peng 2014) called CompareML that permits the direct comparison of findings that purport to answer the same statistical question. I will illustrate that such computational frameworks are crucial to reproducible science by way of an example from genomics [acute leukemia (Golub et al 1999)] where traditional approaches (surprisingly) fail at scale.
Co-sponsored with IPR