Guofen Yan

Guofen Yan is a Professor of Biostatistics in the Department of Public Health Sciences at the University of Virginia School of Medicine, with primary affiliations in the Division of Nephrology and Center for Immunity, Inflammation & Regenerative Medicine. Since joining UVA in 2005, she has established a robust research program focused on kidney disease epidemiology and advanced statistical methods, securing multiple NIH R01 grants and mentoring numerous doctoral students and clinician-scientists.

Her educational background includes:

• Ph.D. in Statistics, Case Western Reserve University

Dr. Yan's research centers on:

• Clinical epidemiology and outcomes research in chronic kidney disease (CKD)
• Racial/ethnic disparities in CKD progression and end-stage renal disease
• Development of biostatistical methods for survival, longitudinal, and clustered data
• Competing risks modeling and multistate analyses
• Multilevel modeling and Bayesian statistical applications

Analysis of her recent publications reveals a consistent focus on methodological innovations for addressing racial disparities in kidney disease outcomes among veterans, with particular emphasis on competing risks of death versus kidney failure, social determinants like homelessness, and longitudinal trajectory modeling using Veterans Health Administration electronic health records.

Her research funding includes:

• NIDDK R01DK084200: Racial disparity in quality of clinical care in end-stage renal disease
• NIDDK R01DK112008: Differential survival selections and care-related determinants among African Americans and Hispanics versus whites with chronic kidney disease
• Additional federal research grants

She has mentored over two dozen doctoral students and numerous clinician-scientists on K awards and collaborative research projects.

Dr. Yan actively contributes to the Center for Immunity, Inflammation & Regenerative Medicine through statistical collaboration and participates in interdisciplinary research teams addressing complex clinical questions across multiple disease areas.