The research of Dr. Ming Wang focuses on the development of statistical methods for longitudinal data analysis, survival data analysis, spatial statistics, high-dimensional data, risk prediction and model diagnosis.
These statistical methods have been implemented into a range of biomedical problems, such as biomarker studies, outcome analysis, genetic expression data and environmental research.
By applying these methods for rigorous analysis, Dr. Wang's research team closely collaborate with clinicians/physicians to better understand the biomedical mechanisms that underlie various human diseases, including cancer, kidney, cardiovascular and neurodegenerative disease, among others.
- Craniocerebral Trauma
- Peripheral Arterial Disease
- Parkinson Disease
- Decision Support Techniques
- Acute Myeloid Leukemia