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Alisa Stephens Shields, PhD serves as an Associate Professor in the Biostatistics division of the Department of Biostatistics, Epidemiology and Informatics, and is recognized for her collaboration and impactful leadership in the realms of health, statistical education, and inclusion in the field.

Dr. Xie’s methodological research focuses primarily on the analysis of complex survey data, and she has a special interest in small-area estimation. She has served as the lead biostatistician for […]

Dr. Xie’s current research goals are twofold. First, she continues to develop new statistical methods for survival analysis, missing data, measurement error problems, high dimensional data, biomarker evaluations, and longitudinal […]

Dr. Yang’s methodological research includes causal inference, functional data analysis and dynamic risk prediction. He is also interested in collaborative research in chronic kidney disease, cardiovascular disease and pharmacoepidemiology.

Dr. Zheng is an assistant professor of Biostatistics. His research focuses on the development of novel statistical methods to address important scientific problems, and the application of sound statistical approaches […]

Dr. Shults is currently the principal investigator of the NIH-funded project “Longitudinal Analysis for Diverse Populations” (R01CA096885). Her work on this project involves quasi-least squares (QLS) and is based on […]

Dr. Stephens Shields is an Associate Professor of Biostatistics. Her research is focused on extensions and innovative applications of causal inference approaches to enhance the design and analysis of clinical […]

Dr. Schaubel’s methodologic research interests mostly involve survival analysis and the analysis of recurrent event data. His more recent methodology has been at the intersection of causal inference and survival […]

Dr. Li’s methodology research interests include clinical trial design, survival analysis, longitudinal data analysis, and statistical methods for health services research. Her earlier research focused on survival analysis, specifically statistical […]

Yun Li, PhD is Associate Professor of Biostatistics in the Perelman School of Medicine at University of Pennsylvania’s Department of Biostatistics, Epidemiology and Informatics (DBEI), and a faculty member at […]

Dr. Long’s research purposefully includes novel statistical and machine learning research and impactful biomedical research, each of which reinforces the other. Its thrust is to develop statistical and machine learning […]

Dr. Miano is a critical care pharmacist and epidemiologist whose work aims to reduce harm from adverse drug events in acutely ill patients. His research focuses on understanding the determinants […]

Dr. Hsu’s statistical research focuses on methods for observational studies and causal inference. He has specific interests in survival analysis, longitudinal data analysis, inverse probability treatment weighting, and the potential […]

Dr. Huang’s research focuses on methodology development to understand the dynamics of disease activities and inform health management using multivariate longitudinal health data. She is currently the PI of a […]

Dr. Rebecca Hubbard’s lab focuses on the development, application, and evaluation of statistical methods for the analysis of real-world data (RWD) such as electronic health records (EHR) and medical claims […]

Working with Penn collaborators, we are currently developing methods for analysis of high-throughout genomic data. Our application areas include genome-wide association studies of neuroblastoma, eQTL analysis of human heart failure […]

Dr. Gimotty’s research focuses on statistical methods and their applications in cancer translational research, prevention and control, and risk assessment. She has served as the biostatistics core director for the […]

Dr. Guo joined the Biostatistics faculty at the University of Pennsylvania in 1998, and was promoted to Professor of Biostatistics in 2010. He was elected as ASA fellow in 2010 […]

Dr. Michael Harhay specializes in the statistical design, analysis, and interpretation of large randomized trials and cohort studies. At Penn, he oversees a broad research portfolio, including serving as the […]

Dr. Farrar has been involved in clinical research for more than 30 years, with a major focus on the study of the efficacy of pain therapeutics and on novel methodology […]

Dr. Fisher is a pharmacoepidemiologist with a particular interest in optimizing the diagnosis, prevention and management of opportunistic infections in immunocompromised hosts. He currently serves as the chair of the […]

Jason D. Christie, MD, MSCE, is the Chief of the Pulmonary, Allergy, and Critical Care Division; The Paul F. Harron Jr. Family Chair; and a Professor of Medicine and Epidemiology […]

Dr. Cohen’s primary research interest is in the area of hypertension. Her research program focuses on better understanding physiology-driven pharmacologic effects of antihypertensive medications in complex and high-risk disease states […]

Dr. Bilker’s methodological research focuses on pharmacoepidemiology, survival analysis, psychiatric methods and correlated data. His primary applied research interests are in schizophrenia and in the analysis of pharmacoepidemiology data using […]

Brielin C. Brown is an Assistant Professor of Informatics and Genetics in the Perelman School of Medicine who is broadly interested in the development and application of statistical and computational […]

Rebecca Hubbard, PhD, co-led a new JNCI paper that studied >14k patients with advanced cancer in a national EHR database to show that time from diagnosis to treatment and choice of therapy […]

A doubly robust approach for cost–effectiveness estimation from observational data Li, Vachani, Epstein, Mitra Estimation of common cost–effectiveness measures, including the incremental cost–effectiveness ratio and the net monetary benefit, is […]

A framework for Bayesian nonparametric inference for causal effects of mediation. Kim C, Daniels MJ, Marcus BH, Roy JA We propose a Bayesian non-parametric (BNP) framework for estimating causal effects […]

A Bayesian nonparametric approach to marginal structural models for point treatments and a continuous or survival outcome. Roy J, Lum KJ, Daniels MJ. Marginal structural models (MSMs) are a general […]