Statistical methodology development
Dr. Wang's primary research interest includes the statistical methodology development for the design and analysis of clinical trials, as well as the evaluation of repeated measurements and correlated data. In particular, her work has focused on the power analysis, sample size determination, and experimental design for various longitudinal studies using Frequentist and Bayesian approaches. Moreover, she has developed the methodologies that are very flexible to accommodate various pragmatic issues such as longitudinal and clustered outcomes, random variability in cluster size, unbalanced randomization, complicated correlation structures, missing data, and small sample sizes. Those methodologies have achieved great performances over a wide spectrum of design configurations and made innovative contributions to the clinical studies.
Another area of Dr. Wang's research interest is the collaboration with clinicians, investigators, and multidisciplinary research teams on a wide range of biomedical and clinical studies.
Ph.D. in Biostatistics, Southern Methodist University, Dallas, Texas
M.S. in Statistics, Texas Tech University, Lubbock, Texas
M.Eng. in Biochemical Engineering, Northeast Agricultural University, China
B.S. in Biotechnology, Northeast Agricultural University, China