Thursday, May 26, 2022 • 8:30–9:30 am (CT) • Light Hall, Room 202
Keynote presenter: Nicole Lazar, Penn State
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. I will also discuss implications for brain network studies, and possible alternative approaches that may show better performance.
