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Jiayin Zheng, PhD

Jiayin Zheng, PhD

Jiayin Zheng, PhD

(He/Him)

Jiayin Zheng, PhD, is Associate Director for Biostatistics with Clinical Futures and Assistant Professor of Biostatistics at Children's Hospital of Philadelphia.

About Jiayin Zheng, PhD

Dr. Zheng is an Assistant Professor of Biostatistics in the Department of Biostatistics, Epidemiology and Informatics (DBEI) at the Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania. His research focuses on the development of novel statistical methods to address important scientific problems and the application of sound statistical approaches to experimental/real-world data to facilitate knowledge discovery and improve decision-making in public health and clinical medicine. He enjoys working on extensive collaborative projects in various research areas including, but not limited to, colorectal cancer, gastroenterology, pediatric research, osteoporosis, cardiology, and infectious diseases.

Motivated by his extensive collaborative experiences, his methodological research spans several innovative research areas, including data integration, design and analysis of multiple-phase sampling (e.g., case-control studies), observational data analysis, risk prediction modeling and evaluation, and survival analysis. Recently, his methodological research interests have focused on data integration, with an emphasis on leveraging external summary information with internal individual data to gain efficiency in parameter estimation and reduce bias for model generalizability/transportability. The motivation stems from his postdoc training at Duke University, where he noticed the limitations of regional/local/hospital-level data, e.g., inadequate sample size leading to insufficient power/efficiency, and biased sampling schemes making results under-represent the target population. He is also interested in developing predictive models using individual participant data meta-analysis and is leading a project to develop a web-based colorectal cancer risk prediction tool based on common genetic risk factors and environmental and lifestyle risk factors.

Titles

Assistant Professor of Biostatistics

Associate Director for Biostatistics, Clinical Futures

Assistant Professor of Biostatistics, Perelman School of Medicine at the University of Pennsylvania

Awards and Honors

2017, Duke Postdoctoral Professional Development Award, Duke University

Education & training

Undergraduate Degree

BS - Statistics, Zhejiang University, Hangzhou, China

Graduate Degree

PhD - Statistics, Peking University, Beijing, China

Publications

Publications

2024

Zheng, J., Hsu, L. (2024) Risk projection for time-to-event outcome from population-based case–control studies leveraging summary statistics from the target population. Lifetime Data Analysis, 30, 549–571. DOI: 10.1007/s10985-024-09626-x

2023

Zheng, J., Dong, X., Newton, C., Hsu, L., (2023). A Generalized Integration Approach to Association Analysis with Multi-category Outcome: An Application to a Tumor Sequencing Study of Colorectal Cancer and Smoking, Journal of the American Statistical Association, 118:541, 29-42. DOI: 10.1080/01621459.2022.2105703

2022

Zheng, J., Zheng, Y., Hsu, L., (2022). Risk projection for time-to-event outcome leveraging summary statistics with source individual-level data. Journal of the American Statistical Association, 117:540, 2043-2055. DOI: 10.1080/01621459.2021.1895810

2022

Zheng, J., Zheng, Y, Hsu, L., (2022). Re-calibrating pure risk integrating individual data from two-phase studies with external summary statistics. Biometrics, 78(4), 1515-1529. DOI: 10.1111/biom.13543

2018

Friedman, D. J., Piccini, J. P., Wang, T., Zheng, J., Malaisrie, S. C., Holmes, D. R., Suri, R. M., Mack, M. J., Badhwar, V., Jacobs, J. P., Gaca, J. G., Chow, S. C., Peterson, E. D., Brennan, J., (2018). Association between left atrial appendage occlusion and readmission for thromboembolism among patients with atrial fibrillation undergoing concomitant cardiac surgery. JAMA, 319(4), 365-374. DOI:10.1001/jama.2017.20125

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