Guofen Yan, Ph.D.
Dr. Yan is a biostatistician with expertise in survival, longitudinal, and hierarchical models, and analysis of population registry databases (such as Medicare claims, U.S. Renal Data System). Her independent researches, funded by NIH/NIDDK R01 grant (PI) and AHRQ R01 grant (site PI), focus on survival and recurrent events, competing risks, longitudinal associations, determinants of racial and ethnic disparities in outcomes and care for chronic kidney disease, and multilevel longitudinal associations of contextual factors, processes of care and outcomes in US health care units. Dr. Yan has collaborated with many clinical investigators in various diseases and clinical specialties with contributions ranging from study design, statistical analysis to grant applications and manuscripts. She has also been a primary statistician for multiple NIH-funded large-scale multicenter clinical trials. Dr. Yan currently serves on a federal advisory committee for Centers for Medicare & Medicaid Services (CMS).
Associate Professor of Biostatistics
Ph.D., Statistics, 2003, Case Western Reserve University
P.O. Box 800717
OMS Room 3881
- Design and analysis of large-scale, multi-center, phase II and III clinical trials
- Survival analysis, longitudinal data analysis, multilevel models, competing risks analysis
- Development and validation of risk predictive models
- Clinical epidemiology, population-based study, and outcome research, using large-scale observational and administrative databases including Medicare billing data
- Bayesian methodology and predictive inference
- Multilevel (hierarchical) modelling
- Renal clinical trials and epidemiology
STAT5559/PHS7440/PHS5440: Bayesian Analysis
Dr. Guofen Yan has been in the Division of Biostatistics and
Epidemiology since Fall 2005. Before joining UVA, she had worked in the
Department of Quantitative Health Sciences (formerly Department of
Biostatistics and Epidemiology) at the Cleveland Clinic Foundation
(CCF) for many years. There she collaborated closely with nephrologists
on kidney and dialysis-related studies, and served as a primary
statistician for several large-scale multi-center clinical trials for
which CCF served as the Data Coordinating Center. Recently, at UVA, she
has collaborated with clinicians and researchers in School of Medicine
and School of Nursing, from study design to statistical analysis and to
grant applications, on various disease areas. Currently, she is
the Principal Investigator for a R01 NIH/NIDDK study on racial
disparity in quality of clinical care in end-stage renal disease.
Selected Recent Publications
- 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 Nephrology 2013 Mar 28.
- 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.
- Baernholdt M, Yan G, Hinton I, Rose K, et al. (2012). Quality of life in rural and urban adults 65 years and older: findings from the national health and nutrition examination survey. Journal of Rural Health 28(4):339-47.
- 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.
- Noonan D, Kulbok P, and Yan G. (2011). Intention to Smoke Tobacco Using Waterpipe among Students in a Southeastern U.S. College. Public Health Nursing 28(6): 494-502.
- Abdel-Rahman EM, Yan G , Turgut F, Balogun RA. (2011). Long-term morbidity and mortality related to falls in hemodialysis patients: role of age and gender – a pilot study. Nephron Clinical Practice 118(3):c278–c284.
- 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.
- Cheung A, Rocco M, Yan G, Leypoldt J, et al. (2006). Serum ß2-microglobulin levels predict mortality in dialysis patients: Results of HEMO Study. Journal of the American Society of Nephrology 17:546-555.
- 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.
- Ng YH, Meyer KB, Kuse JW, Yan G, et al. (2006). Hemodialysis timing, survival, and cardiovascular outcomes in the Hemodialysis (HEMO) Study. American Journal of Kidney Disease 47(4):614-24.
- 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.
- Unruh M, Benz R, Greene T, Yan G, et al. (2004). Effects of hemodialysis dose and membrane flux on health-related quality of life in the HEMO Study. Kidney International 66:1-12.
- 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.
- Allen KL, Miskulin D, Yan G, Dwyer JT, et al. (2002). Association of nutritional markers with physical and mental health status in prevalent hemodialysis patients from the HEMO study. Journal of Renal Nutrition 12(3):160-9.
- 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.