Yan, Guofen, Ph.D.

Dr. Yan is a biostatistician with expertise in survival, longitudinal, and hierarchical models, and analysis of population registry databases and electronic health records. She has been collaborating with many clinical investigators in various disease and clinical specialties in study design, analytical approach, statistical analysis, and grant applications and manuscripts. She has research interests in the utilization and development of biostatistical and epidemiologic methods and framework to help elucidate relationships among racial, socioeconomic, and biological factors in health outcomes. She has served as the principal investigator for two NIH R01 grants and other government research grants that focused on outcomes and 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 administrative database and electronic health records

Research Interests

• Epidemiology, outcomes, and disparities in chronic kidney disease (CKD)
• Competing risks and multi-state models
• Bayesian methods and applications

Professional Service

• Statistical Editorial Board, Journal of the American Society of Nephrology (JASN)
• NIH Scientific Review Special Emphasis Panels / 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 had worked in the Department of Biostatistics and Epidemiology at the Cleveland Clinic Foundation (CCF) for many years. She served as a primary statistician for several NIH-funded large-scale multi-center clinical trials, including the landmark Hemodialysis Study (HEMO), for which the CCF was the Data Coordinating Center. At UVA, she has collaborated with clinicians and researchers in School of Medicine and School of Nursing on a number of NIH U-level grants, clinical trials, and investigator-initiated R01 grants. She has also served as a statistics mentor for a number of physicians and health-service researchers on their K awards, and co-mentored more than two dozen doctoral students on their dissertations.

Selected Publications

• 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 Chronic Kidney Disease. Journal of the American Society of Nephrology. 2024 Jan 23. doi: 10.1681/ASN.0000000000000300. Epub ahead of print.
• 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.
• 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.