Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, and there is natural ...
Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...
Chongzhi Di develops statistical methods for analyzing functional and longitudinal data in epidemiologic studies of physical activity and sedentary behavior, particularly using data from mobile-health ...
PhD, Statistics, Northwestern University, 2014. Fengqing (Zoe) Zhang, PhD, is an associate professor in the Department of Psychological and Brain Sciences. Prior to joining Drexel University, she ...
University of Delaware alumnus Yunjiao Cai believes data science has the biggest potential to effectively solve many of the world’s pressing challenges. And, at the core of data science, lies ...
High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...
Gone are the days when tennis analysis meant simply counting aces and double faults. Today’s data revolution is transforming ...
A general program that focuses on the analysis of quantities, magnitudes, forms, and their relationships, using symbolic logic and language. Includes instruction in algebra, calculus, functional ...
Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
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