
About
Anne Eaton is an Assistant Professor in the Division of Biostatistics & Health Data Science at the University of Minnesota and a member of the Masonic Cancer Center. Her research develops statistical methods for time-to-event data with complex observation processes, primarily motivated by cancer research challenges.
Her educational background includes:
- PhD in Biostatistics from the University of Minnesota (2020)
- MS in Biostatistics from the University of Minnesota (2010)
- BA in Mathematics from Grinnell College (2008)
Dr. Eaton's research focuses on survival analysis, multistate models, non-parametric methods, and clinical trial design. She addresses challenges in cancer research involving multiple time-to-event endpoints and irregular patient data collection schedules, aiming to translate complex statistical findings into actionable insights for clinicians and patients.
Her recognitions include:
- Delta Omega, Honorary Society in Public Health (2020)
Details regarding her advisees and research grants were not specified in the available information.
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