Date: December 1, 2022 @ 9:30am
Speaker: Dr. Hao Ye
Affiliation: UF Libraries
Title: Informed Inference in a Sea of Complexity
Abstract: What is the replication crisis? Does it (even) affect statistical and computational work? How can researchers produce and publish rigorous conclusions in non-trivial contexts? (Is it even possible?) This seminar session will begin with a summary of recent highly-publicized concerns in scientific research, and continue with a guided discussion into defining good scientific and statistical practices and identifying pathways forward for data-driven and computational work.
Background Readings:
“The American Statistical Association’s Statement on p-Values: Context, Process, and Purpose”
https://amstat.tandfonline.com/doi/full/10.1080/00031305.2016.1154108#.Vt2XIOaE2MN
“Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results”
https://journals.sagepub.com/doi/10.1177/2515245917747646
“Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty”
https://www.pnas.org/doi/abs/10.1073/pnas.2203150119