Wan Tang, PhD


Suite 1610
Wan Tang, PhD Clinical Associate Professor

Education & Affiliations

PhD, Mathematics, University of Rochester, 2004
MA, Mathematics, University of Rochester, 2004
MS, Mathematics, Peking University, China, 1995
BS, Mathematics, Southwest China Normal University, 1992


Wan Tang's primary research focuses on: statistical methodological development in fields such as longitudinal data analysis, missing data, nonparametric smoothing methods, and causal inferences, and their application in biomedical studies, especially in psychiatry and behavioral research. He teaches introductory biostatistics courses such as intermediate biostatistics, statistical methods for survival data analysis, and clustered and longitudinal data analysis. Together with co-authors he published a graduate textbook Applied Categorical and Count Data Analysis in the Chapman & Hall/CRC Texts in Statistical Science series, based on their categorical data analysis courses at the University of Rochester. Prior to joining the faculty at Tulane, he was a research associate professor at the University of Rochester. He received his master of arts and doctor of philosophy ain mathematics from the University of Rochester and his master of science in mathematics from Peking University.

Research Areas

  • Longitudinal data analysis
  • Missing data modeling
  • Nonparametric methods


View Dr. Tang's publications at his NCBI profile page.


BIOS 6040 Intermediate Biostatistics