Yan, Guofen, Ph.D.

Dr. Yan is a biostatistician with expertise in survival, longitudinal, and hierarchical (multilevel) models, and in the analysis of population registry databases and electronic health records. She has collaborated with many clinical investigators across various disease and clinical specialties in study design, analytical approach, statistical analysis, and grant applications and manuscripts. Additionally, she has mentored numerous clinician-scientists and health services researchers on K awards and supervised more than two dozen doctoral students on their dissertations. She has research interests in the utilization and development of biostatistical and epidemiologic methods and novel frameworks to elucidate the relationships among racial/ethnic identity, social determinants of health, and biological factors in health outcomes. She has served as the principal investigator on multiple NIH R01 and other government-funded research grants that focused on addressing racial and ethnic disparities in chronic kidney disease.

Professor of Biostatistics
Ph.D., Statistics, Case Western Reserve University

P.O. Box 800717
Tel: 1-434-982-6422
Fax: 1-434-243-5787
Email: guofen.yan@virginia.edu
Old Med School Room 3881

Biostatistical Expertise

• Design and analysis of longitudinal cohort studies and clinical trials
• Models for multilevel, longitudinal, survival, or competing-risks data
• Analysis of electronic health records databases (e.g., US Veterans Health Administration databases)

Research Interests

• Epidemiology, outcomes, and health disparities in chronic kidney disease
• Competing risks and multistate models
• Multilevel modeling
• Bayesian methods and applications

Selected Professional Services

• Statistical Editorial Board, American Society of Nephrology (ASN) Journal Portfolio (JASN, CJASN, and Kidney360)
• Statistical Editorial Board, Journal of the American Society of Nephrology (JASN) (2018 – 2023)
• NIH Grant Review Panels
• Voting member, Medicare Evidence Development and Coverage Advisory Committee (MEDCAC) of Centers for Medicare & Medicaid Services (CMS), U.S. Department of Health and Human Services, two terms (2015-16 & 2013-14)
• Gertrude M. Cox Scholarship Award Subcommittee, American Statistical Association (2017 – 2018)

Other Information

Before joining UVA in 2005, Dr. Yan worked in the Department of Biostatistics and Epidemiology at the Cleveland Clinic Foundation (CCF), where she served as a primary statistician for several NIH-funded large-scale, multicenter clinical trials, including the landmark Hemodialysis Study (HEMO), for which CCF was the Data Coordinating Center.

Selected Publications

• Koyama AK, Nee R, Yu W, Choudhury D, Heng F, Cheung AK, Cho ME, Norris KC, Yan G. (2024). Homelessness and Risk of End-Stage Kidney Disease and Death in Veterans With Chronic Kidney Disease. JAMA Network Open. 2024 Sep 3;7(9):e2431973.
• Yan G, Nee R, Scialla JJ, Greene T, Yu W, Heng F, Cheung AK, Norris KC. (2024). Role of Age and Competing Risk of Death in the Racial Disparity of Kidney Failure Incidence after Onset of CKD. Journal of the American Society of Nephrology. 2024 Mar 1;35(3):299-310.
• Koyama AK, Nee R, Yu W, Choudhury D, Heng F, Cheung AK, Norris KC, Cho ME, Yan G. (2023). Role of Anemia in Dementia Risk Among Veterans With Incident CKD. American Journal of Kidney Disease. 2023 Dec;82(6):706-714.
• Burrows NR, Koyama AK, Choudhury D, Yu W, Pavkov ME, Nee R, Cheung AK, Norris KC, Yan G. (2022). Age-Related Association between Multimorbidity and Mortality in US Veterans with Incident Chronic Kidney Disease. American Journal of Nephrology. 2022;53(8-9):652-662.
• Yan G, Nee R, Scialla JJ, Greene T, Yu W, Cheung AK, Norris KC. (2022). Estimation of Black-White Disparities in CKD Outcomes: Comparison Using the 2021 Versus the 2009 CKD-EPI Creatinine Equations. American Journal of Kidney Disease. 2022 Sep;80(3):423-426.
• Yan G, Shen JI, Harford R, Yu W, Nee R, et al. (2020). Racial and Ethnic Variations in Mortality Rates for Patients Undergoing Maintenance Dialysis Treated in US Territories Compared with the US 50 States. Clinical Journal of the American Society of Nephrology 15(1):101-108.
• Yan G. (2019). Confounding of Race/Ethnicity and Age in the Survival among Veterans Obtaining Dialysis in VA and Non-VA Settings. (short communication) Journal of the American Society of Nephrology 30(7):1337.
• Nee R, Yan G, Yuan CM, Agodoa LY, Norris KC. (2019). Use of Percutaneous Coronary Intervention Among Black and White Patients With End-Stage Renal Disease in the United States. Journal of the American Heart Association 8(15): e012101.
• Langfitt JT, Quigg M, Yan G, Yu W, Ward MM, et al. (2019). Direct and indirect costs associated with stereotactic radiosurgery or open surgery for medial temporal lobe epilepsy: Results from the ROSE trial. Epilepsia 60(7):1453-1461.
• Barbaro NM, Quigg M, Ward MM, Chang EF, Broshek DK, Langfitt JT, Yan G, et al. (2018). Radiosurgery versus open surgery for mesial temporal lobe epilepsy: The randomized, controlled ROSE trial. Epilepsia. 2018 Jun;59(6):1198-1207.
• Yan G, Cheung AK, Greene T, Yu AJ, et al. (2015). Interstate variation in receipt of nephrologist care in US patients approaching ESRD: race, age, and state characteristics. Clinical Journal of the American Society of Nephrology 10(11): 1979-88.
• Yan G, Norris KC, Greene T, Yu AJ, et al. (2014). Race/ethnicity, age, and risk of hospital admission and length of stay during the first year of maintenance hemodialysis. Clinical Journal of the American Society of Nephrology 9(8): 1402-9.
• Yan G, Norris KC, Xin W, Ma JZ, et al. (2013). Facility size, race and ethnicity, and mortality for in-center hemodialysis. Journal of the American Society of Nephrology 24(12): 2062-70.
• Yan G, Norris KC, Yu AJ, Ma JZ, et al. (2013). The Relationship of Age, Race, and Ethnicity with Survival in Dialysis Patients. Clinical Journal of the American Society of Nephrology8(6): 953-61.
• Yan G, Cheung AK, Ma JZ, Yu AJ, et al. (2013). The Associations between Race and Geographic Area and Quality-of-Care Indicators in Patients Approaching ESRD. Clinical Journal of the American Society of Nephrology 8 (4): 610-618.
• Yan G and Sedransk J. (2011). Improved inference for a linear mixed-effects model when the subpopulation effects are clustered. Journal of Statistical Planning and Inference 141: 3489–3497.
• Yan G and Greene T. (2011). Statistical analysis and design for estimating accuracy in clinical-center classification of cause-specific clinical events in clinical trials. Clinical Trials 8(5): 571 – 580.
• Johnston KC and Yan G. (2011). Acute Physiology of Stroke Score. Stroke 42(8):2336-2338.
• Yan G and Sedransk J. (2010). The effect of sample composition on inference for random effects using Normal and Dirichlet process models. Journal of Data Science 8(4): 589-605.
• Yan G and Greene T. (2008). Investigating the effects of ties on measures of concordance. Statistics in Medicine 27(21):4190-4206.
• Yan G and Sedransk J. (2010). A Note on Bayesian Residuals in Hierarchical Model Diagnostic. Statistical Papers 51:1–10.
• Yan G and Sedransk J. (2007). Bayesian Diagnostic Techniques for Detecting Hierarchical Structure. Bayesian Analysis 2, 735-760.
• Yan G and Sedransk J. (2006). Exploring the use of subpopulation membership in Bayesian hierarchical model assessment. Journal of Data Science 4: 413-424.
• Unruh M, Yan G , Radeva M, Hays Rd, et al. (2003). Bias in assessment of health-related quality of life in a hemodialysis population: a comparison of self-administered and interviewer-administered surveys in the HEMO Study. Journal of the American Society of Nephrology 14: 2132-2141.
• Unruh M, Miskulin D, Yan G, Hays RD, et al (2004). Racial differences in health-related quality of life among hemodialysis patients. Kidney International, 65:1482-1491.
• Cheung AK, Sarnak M, Yan G, Berkoben M, et al. (2004). Cardiac diseases in maintenance hemodialysis patients: Results of the HEMO study. Kidney International 65: 2380-2389.
• Cheung AK, Yan G, Greene T, Daugirdas JT, et al. (2002). Seasonal variations in clinical and laboratory variables among chronic hemodialysis patients. Journal of the American Society of Nephrology 13(9):2345-52.
• Rocco MV, Yan G, Gassman J, Lewis JB, et al. (2002). Comparison of causes of death using HEMO Study and HCFA end-stage renal disease death notification classification systems. The National Institutes of Health-funded Hemodialysis. Health Care Financing Administration. American Journal of Kidney Disease 39(1):146-53.