We collaborate with informaticians, epidemiologists, clinicians, and patients to promote health by novel quantitative methods.
We aim to tackle several key challenges in the modern data rich era, including heterogeneity, complexity, suboptimal quality, reproducibility, and high-dimensionality of biomedical data. We believe that fundamental principles and wisdoms of statistics can be revived in tackling these problems, such as likelihood principle, Bayesian analysis, robust inference, dimension reduction, penalized methods, as well as a combination of statistical modeling and algorithm design.
NEWS & EVENTS
AUGUST 2019
Dr. Jing Huang and Dr. Yong Chen are joining the Statistics in Epidemiology (SIE) program for the Speed Mentoring Breakfast event on Monday Morning at 2019 JSM.
AUGUST 2019
Members in PennCIL are attending 2019 Joint Statistical Meetings (JSM) in Denver, Colorado, which is the largest gathering of statisticians held in North America.
Rui Duan will give a presentation on “A Fast Score Test for Generalized Mixture Models”; Dr. Chongliang Luo will give a presentation on “Integrative Survival Analysis with Uncertain Event Times in Application to a Suicide Risk Study”; Dr. Yong Chen will give a presentation on “Incorporating Prior Knowledge on Phenotyping Accuracy for Association Studies Using Electronic Health Records Data”. Dr. Lifang He, Dr. Ruowang Li and Jessie Tong will attend JSM
AUGUST 2019
Lifang He is joining Lehigh University as an Assistant Professor of Computer Science. Congratulations!!!
JULY 2019
Check out the recent published paper on “Inherited Thrombophilia and the Risk of Arterial Ischemic Stroke: A Systematic Review and Meta-Analysis", coauthored by Elizabeth De Jesus, of Tufts University School of Medicine; Jiayi Tong, BS, Yong Chen, PhD, both of the Perelman School of Medicine, University of Pennsylvania; Mark Crowther, of the Department of Medicine, McMaster University; David A. Garcia, of the Department of Medicine, Division of Hematology, University of Washington; Chatree Chai-Adisaksopha, of Chiang Mai University; Steven R. Messé, of the Department of Neurology, University of Pennsylvania; and Adam Cuker, of the Department of Medicine and Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania
MARCH 2019
Check out the recent published paper on “A Meta-Analysis of the Associations Between the Nurse Work Environment in Hospitals and 4 Sets of Outcomes” coauthored by University of Pennsylvania alumna Jordan Sanders, of the University of Vermont Medical Center; Rui Duan, MS, and Yong Chen, PhD, both of the Perelman School of Medicine, University of Pennsylvania; and Kathryn A. Riman, BSN, BSPH, RN, and Kathryn M. Schoenauer, both of CHOPR.
Check out the news at the School of Nursing for more information.
