Pengyue Zhang, PhD
Assistant Professor of Biostatistics & Health Data Science
- Address
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HS 3000
BSAT
IN
Indianapolis, IN - PubMed:
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Bio
I am an assistant research professor of the Department of Biostatistics and Heath Data Science at Indiana University School of Medicine. My research interest include drug repurposing, drug adherence, adverse drug event, and drug interactions. Specifically, I develop statistical models to analyze real-world patient data to identify the aformentioned outcomes.Key Publications
Zhang P, Tossone K, Ashmead R, Bickert T, Bailey E, Doogan N, Mack A, Schmidt S, Bonny A. Examining differences in retention on medication for opioid use disorder: An analysis of Ohio Medicaid data. Journal of Substance Abuse Treatment. 2021 Dec; Online ahead of printZhang P, Shoben A, Jackson R, Fernandez S. Variance formulae for multiphase stepped wedge cluster randomized trial. Statistics in Medicine. 2020 Dec;39(28)
Zhu A, Zeng D, Shen L, Ning X, Li L, Zhang P. A super-combo-drug test to detect adverse drug events and drug interactions from electronic health records in the era of polypharmacy. Statistics in Medicine. 2020 May;39(10)
Wang X, Li L, Wang L, Feng W, Zhang P. Propensity score-adjusted three-component mixture model for drug-drug interaction data mining in FDA Adverse Event Reporting System. Statistics in Medicine. 2020 Mar;39(7)
Zhang P, Li M, Chiang CW, Wang L, Xiang Y, Cheng L, Feng W, Schleyer TK, Quinney SK, Wu HY, Zeng D, Li L. Three-component mixture model-based adverse drug event signal detection for the adverse event reporting system. CPT: Pharmacometrics & Systems Pharmacology. 2018 Aug;7(8)
Zhang P, Wu HY, Chiang CW, Wang L, Binkheder S, Wang X, Zeng D, Quinney SK, Li L. Translational biomedical informatics and pharmacometrics approaches in the drug interactions research. CPT: Pharmacometrics & Systems Pharmacology. 2018 Feb;7(2)
| Year | Degree | Institution |
|---|---|---|
| 2016 | PhD | Indiana University |
| 2011 | MS | Purdue University |
| 2008 | BS | Tianjin Normal University |
Real-world Patient Data, Drug Interaction, Adverse Drug Event, Drug Repurposing, Drug Adherence
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