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Personal profile

Research interests

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. 

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Research Output

  • 295 Citations
  • 9 h-Index
  • 54 Article
  • 3 Letter

Assessing predictive accuracy of survival regressions subject to nonindependent censoring

Wang, M., Long, Q., Chen, C. & Zhang, L., Feb 20 2020, In : Statistics in Medicine. 39, 4, p. 469-480 12 p.

Research output: Contribution to journalArticle

  • Diet is associated with ankle-brachial index, inflammation, and ambulation in patients with intermittent claudication

    Gardner, A. W., Montgomery, P. S., Wang, M., Shen, B., Casanegra, A. I., Silva-Palacios, F. & Knehans, A. W., Jan 1 2020, (Accepted/In press) In : Journal of Vascular Surgery.

    Research output: Contribution to journalArticle

  • Open Access