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Yun Li, PhD
Yun Li
Faculty Member, Department of Pediatrics

Dr. Li conducts methodological research in causal inference, unmeasured confounding, missing data, longitudinal analysis, survival analysis, mediation, Bayesian analyses, and survey methods.



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Yun Li, PhD is a faculty member in the Department of Pediatrics at Children's Hospital of Philadelphia, associate professor of Biostatistics in the Perelman School of Medicine at University of Pennsylvania’s Department of Biostatistics, Epidemiology, and Informatics, and a senior scholar at PennMed's Center for Clinical Epidemiology and Biostatistics.

Dr. Li conducts methodological research in causal inference, unmeasured confounding, missing data, longitudinal analysis, survival analysis, mediation, Bayesian analyses, and survey methods. She has led the effort in database management, data integrity, and rigorous and robust analytical methods in many multicenter studies and NIH-funded program projects in biomedical science. Her research areas in the past two decades include infectious disease, breast cancer, prostate cancer, head-and-neck cancer, kidney disease, cardiovascular diseases, and liver disease. Needs that arose in the course of her collaborative work have inspired her to innovate in statistical methods research, and she has led the development of statistical methods to tackle the statistical issues in these clinical studies.

Her methodological work has involved four key areas: 1) intermediate outcomes; 2) time-dependent treatments; 3) unmeasured confounders; and 4) missing data. Of note, her early methods work was among the first to propose a causal inference framework for evaluating surrogate endpoints, such as intermediate biomarkers, surrogate markers, or mediators.

Dr. Li is actively involved in the PhD program in Biostatistics and the Master's of Science in Clinical Epidemiology programs at Penn. She also regularly serves as faculty mentor to junior investigators.

Prior to her work at CHOP and Penn, Dr. Li was a research associate professor at the University of Michigan (UM). Dr. Li earned her PhD in Biostatistics from UM, following a period of highly effective collaborative work at Duke University Clinical Research Institute. She joined the UM Biostatistics faculty after graduation.

Education and Training

PhD, University of Michigan (Biostatistics), 2008

MS, University of North Carolina at Chapel Hill (Biostatistics), 2001

Titles and Academic Titles

Associate Professor of Biostatistics in the Department of Biostatistics, Epidemiology and Informatics in the Perelman School of Medicine at the University of Pennsylvania

Associate Professor in the Department of Pediatrics at Children’s Hospital of Philadelphia

Senior Scholar in the Center for Clinical Epidemiology and Biostatistics in the Perelman School of Medicine at Penn

Professional Memberships

International Biometric Society

American Statistical Association

International Chinese Statistical Association

Publication Highlights

Li Y, Bondarenko I, Elliott M, Hofer T, Taylor JMG. Using multiple imputation to classify potential outcomes subgroups. Stat Methods Med Res. 2021 Jan; In Press
Li Y, Lee Y, Port F, Robinson BM. The impact of unmeasured within- and between-cluster confounding on the bias of effect estimators of a continuous exposure. Stat Methods in Med Res. 2020 Aug; 29(8): 2119-2139. PMID: 31694489
Li Y, Lee Y, Wolfe RA, Morgenstern H, Zhang J, Port F, and Robinson BM. On a preference-based instrumental variable approach in reducing unmeasured confounding-by-indication. Stat Med. 2015 Mar; 34(7):1150-68. PMID: 25546152
Li Y, Schaubel DE, and He K. Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment. Stat Biosc. 2014 May; 6(1):105-126. PMID: 25309633. PMCID: PMC4188446
Li Y, Taylor JMG, Elliott MR, and Sargent D. Causal assessment of surrogacy in a meta analysis of colorectal cancer trials. Biostatistics. 2011 Jul; 2(3):478-492. PMID: 21252079. PMCID: PMC3114655

Active Grants/Contracts

Methods for survival processes arising in end-stage renal disease
PI: Douglas Schaubel, PhD

A multicenter prospective study of human adenovirus infection and disease in pediatric human stem cell transplant recipients
PI: Brian Fisher, DO, MPH, MSCE

Implementing a discharge stewardship bundle to improve antibiotic use at transition from hospital to home
PI: Jeffery Gerber, MD, PhD

Broad Implementation of Outpatient Stewardship (BIOS) Project
PI: Jeffrey Gerber, MD, PhD

Links of Interest