Research Interests
Clinical trial design and analysis, Bayesian methods and applications, Machine learning and text mining.
Education
- Ph.D. in Statistics, University of Missouri, 2005
- M.S. in Economics, Xiamen University, 2000
- B.S. in Applied Mathematics, Qingdao University, 1997
Short Bio
Dr. Jing Cao is a Professor of Statistics and the Director of Graduate Studies in the Department of Statistics and Data Science at Southern Methodist University. Her research areas include clinical trial design, Bayesian methods and their applications, and machine learning in text analysis. Specifically, she is interested in clinical designs with complicated setups (clustered, longitudinal, and pre-post designs), arbitrary correlation structures, missing data, historical controls, and cost constraints. Dr. Cao has years of experience developing Bayesian models with application to psychological and behavioral science studies, high throughput data analysis, spatial-temporal analysis of longitudinal and survival data. Her most recent research direction is to combine statistical learning with machine learning algorithms in sentiment analysis. Her research has been supported by fundings from NIH, NSF, Patient-Centered Outcomes Research Institute, and Institute of Education Sciences.
Dr. Cao is a fellow of American Association of Wine Economists. She is also the chair of the ASA Committee on Professional Ethics. In her spare time, she enjoys cooking, hiking, and playing a little piano.