معرفی
Sarah Peskoe serves as an Assistant Professor in the Department of Biostatistics & Bioinformatics at Duke University, where she is affiliated with the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core. She maintains active collaborations with researchers in the Center for the Study of Aging and Human Development, Department of Surgery, and Department of Medicine.
Her educational credentials include:
- Sc.D. in Biostatistics from Brown University (2011)
- Ph.D. in Biostatistics from Harvard University (2017)
Dr. Peskoe's research program centers on methodological innovations to correct biases from measurement error and selection in epidemiologic studies. Her core expertise spans biomarker evaluation, electronic health records-based research, risk prediction modeling, and advanced survival analysis techniques. She develops statistical frameworks for handling complex data structures while maintaining rigorous causal inference standards.
Analysis of her 2023-2025 publications reveals strong thematic convergence around health equity applications in transplantation and aging research. Her work consistently bridges methodological biostatistics with clinical implementation, particularly in kidney/heart/lung transplantation outcomes, geriatric care interventions, and disparities reduction. The publications demonstrate increasing focus on real-world data from electronic health records and pragmatic clinical trials.
Dr. Peskoe currently leads 11 major research initiatives funded by NIH, NIA, and PCORI:
- Impact of hypertension and aging on postoperative delirium (NIH, 2025-2030)
- Integration of Geriatric Care into Dialysis Clinics (NIA, 2023-2028)
- Evaluation of Unilateral vs Bilateral Hearing Aids (PCORI, 2021-2026)
- Health System Outreach to Eliminate Kidney Transplant Disparities (NIH, 2020-2023)
Through the Quantitative Team Science (QuanTS) Program, she actively builds infrastructure for statistical collaboration units while mentoring junior quantitative scientists across Duke's clinical research enterprise.
