Dr. Zhang's research focuses on method development and biostatistics application. His expertise is in handling complex data for longitudinal studies with research interests in computation statistics, EM algorithms, joint models, multiple imputation, event history analysis, and causal inference. His research has primarily been funded by NIH grants. As PI for an NIH R03 and NIH R21, he is developing new statistical methods for multi-state and random change-point models with applications in neurocysticercosis and HIV surveillance.
He is also keen to apply statistical methods through collaborative research in which he has more than 30 publications and has been a co-investigator in several NIH R01s for studies in orthopedic surgery, radiology, arthritis, HIV care, and others.
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The University of Kentucky's College of Public Health (CPH) welcomes a new faculty member,
