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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)

LinkedIn profile

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).