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Activity Number: 398 - Reproducibility in Imaging Studies
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Imaging
Abstract #329126 Presentation
Title: Reproducibility in Functional Neuroimaging Studies Through the Lens of Multiplicity
Author(s): Nicole Lazar*
Companies: University of Georgia
Keywords: big data; functional magnetic resonance imaging; replication; p-values
Abstract:

Of late much attention has been focused on problems of reproducibility in the scientific literature, with many published studies failing to meet what seems a minimal standard. Functional neuroimaging research has not been immune to these criticisms. As a reaction to the "reproduciblity crisis" in science, a variety of solutions have been proposed, most of which touch on, in one way or another, issues of multiple testing and Type I error control. In this talk, I will discuss the question of reproducibility in functional neuroimaging and other large-scale data settings, via the perspective of multiplicity.


Authors who are presenting talks have a * after their name.

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