Kaidi Kang
Degree Program: PhD, Biostatistics
Advisor: Simon Vandekar
MS, Biostatistics, Georgetown University
Recent work includes: Accurate confidence interval estimation for non-centrality parameters and effect size indices
Co-author of the {RESI} R package (2022), which summarizes model output using a robust effect size index.
Honors include: Best Data Blitz, 2023 Vanderbilt Alzheimer’s Disease Research Day; Student Research Award, 36th New England Statistics Symposium, for “Double anchoring events-based sigmoidal mixed model for longitudinal memory decline in Alzheimer’s disease” (co-authored with Panpan Zhang and Dandan Liu)
Kang will be presenting “Study Features Impacting Replicability of Brain-wide Association Studies” as a poster at the Organization for Human Brain Mapping Annual Meeting in Montreal (July 2023) and a contributed talk at the Joint Statistical Meetings in Toronto (August 2023).