Jing Huang, PhD

Dr. Huang’s research interests focus on evidence generation and integration from multiple sources of large healthcare data—including the multi-institutional electronic health records, safety reports from FDA/CDC funded drug/vaccine safety surveillance systems, and wearable health devices data—for evidence-based intervention and precision medicine.

She joined the biostatistics faculty at the University of Pennsylvania in 2018. Dr. Huang also holds an appointment as an Assistant Professor of Biostatistics in Pediatrics, at the Children's Hospital of Philadelphia.

Content Area Specialties

Cardiology, nutrition and inflammatory bowel disease, pediatrics, pharmacoepidemiology, psychology, renal disorders.

Methodology Specialties

Methods for analysis of large healthcare data, causal inference, Bayesian modeling and methods, functional data analysis, predictive modeling.

Selected Publications

  • Qiu C, Hanson RL, Fufaa G, Kobes S, Gluck C, Huang J, Chen Y, Raj D, Nelson R G, Knowler WC, Susztak, K: Cytosine methylation predicts renal function decline in American Indians. Kidney International 2018, in press.
  • Huang J, Duan R, Hubbard R, Wu Y, Moore JH, Xu H and Chen Y: PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data. Journal of the American Medical Informatics Association 25(3): 345-352, 2018.
  • Huang J, Huang J, Chen Y and Ying G: Evaluation of approaches to analyzing continuous correlated eye data when sample size is small. Ophthalmic Epidemiology 25(1): 45-54, 2018.
  • Huang J and Yuan Y: Bayesian dynamic mediation analysis. Psychological Methods 22(4): 667-686, 2017.
  • Chen Y, Huang J, Ning Y, Liang KY, and Lindsay BG: A conditional composite likelihood ratio test with boundary constraints. Biometrika 105(1): 225-232, 2017.
  • Duan R, Zhang X, Du J, Huang J, Tao C and Chen Y : Post-marketing drug safety evaluation using data mining based on FAERS. International Conference on Data Mining and Big Data Page: 379-389, 2017.
  • Huang J, Zhang X, Du J, Duan R, Yang L, Moore JH, Chen Y and Tao C: Comparing difference of adverse effects among multiple drugs using FAERS data. Medinfo 2017: Precision Healthcare through Informatics 245: 1268, 2017.
  • Huang J, Liu Y, Vitale S, Penning TM, Whitehead A, Vachani A, Clapper ML, Muscat J, Lazarus P, Scheet P, Moore JH and Chen Y: On meta- and mega- analyses for gene-environment interactions. Genetic Epidemiology 41(8): 876-886, 2017.
  • Du J, Huang J, Duan R, Chen Y and Tao C: Comparing the human papillomavirus vaccination opinions trends from different twitter user groups with a machine learning based system and semiparametric nonlinear regression. Studies in Health Technology and Informatics 245: 1218, 2017.
  • Cai Y, Du J, Huang J, Ellenberg SS, Hennessy S, Tao C and Chen Y: A signal detection method for temporal variation of adverse effect with vaccine adverse event reporting system data. BMC Medical Informatics and Decision Making 17(2): 76, 2017.