3975-Zhang, Pengyue

Pengyue Zhang, PhD

Associate Professor of Biostatistics & Health Data Science

Address
HS 3000
BSAT
IN
Indianapolis, IN
PubMed:

Bio

I am an Associate Professor in the Department of Biostatistics and Health Data Science. My research interests include the development and application of statistical methods for mining real-world health data. I have served as Multiple Principal Investigators on four NIH R01 grants. Additionally, I have 36 research publications in methodological journals, such as Statistics in Medicine and Journal of Biomedical Informatics, as well as clinical journals, including Alzheimer’s & Dementia and the Clinical Journal of the American Society of Nephrology.

Key Publications

Y Shi, A Sun, J Xu, Y Yang, A Saykin, F Cheng, and P Zhang.  Real-world relationship between blood biomarker-based PhenoAge, metformin, and Alzheimer’s disease.  Alzheimer's & Dementia: TRCI,  2026

Y Shi, A Sun, Y Yang, H Nan, J Xu, M Shan, MT Eadon, J Su, and P Zhang.  A Dose-Aware Model for Revealing Dose-Risk Relationship of Drug-Drug Interaction.  CPT: Pharmacometrics & Systems Pharmacology, 2025

J Xu, A Sun, Y Yang, Y Shi, D Lai, J Su, L Li, D Zeng, A Saykin, F Cheng, Y Liu, P Zhang.  Real-World Observations on Neuroinflammation-Related Drug Responses in Alzheimer's Disease.  Journal of Alzheimer’s Disease, 2025

P Zhang, C Mao, A Sun, Y Yang, Y Hou, Z Fu, T Babak, JB Leverenz, AA Pieper, Y Luo, J Cummings, F Cheng.  Real-world observations of GLP-1 receptor agonists and SGLT-2 inhibitors as potential treatments for Alzheimer's disease.  Alzheimer’s and Dementia, 2025

Y Shi, A Sun, H Nan, Y Yang, J Xu, MT Eadon, J Su, P Zhang.  A trajectory-informed model for detecting drug-drug-host interaction from real-world data.  Journal of Biomedical Informatics, 2025

J Xu, A Sun, Y Yang, Y Shi, J Su, MT Eadon and P Zhang.  Risk of urinary tract infections with SGLT-2 inhibitors in subpopulations with abnormal genitourinary pathology.  Clinical Journal of the American Society of Nephrology, 2025

Y Shi, Y Yang, R Liu, A Sun, X Peng, Lang Li, P Zhang and P Zhang.  A drug similarity-based early adverse drug event detection approach.  Drug Safety, 2025

Y Shi, MT Eadon, Y Chen, A Sun, Y Yang, C Chiang, MM Donneyong, J Su and P Zhang.  A precision mixture risk model to identify adverse drug events in subpopulations using a case-crossover design.  Statistics in Medicine, 2024

P Zhang, Y Hou, W Tu, N Campbell, AA Pieper, JB Leverenz, S Gao, J Cummings and F Cheng.  Population-based discovery and Mendelian randomization analysis identify telmisartan as a candidate medicine for Alzheimer's disease in African Americans.  Alzheimer's and Dementia, 2023

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