Our laboratory has developed a range of data analysis workflows that incorporate advanced statistical and computational methods to interpret the complex molecular datasets generated by MS technologies ...
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 ...
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Adjusting research statistical methods could transform mental health care for young people
The sample sizes are smaller. The statistical noise is greater. And the stakes for young patients are high. We need sound trial design, advanced statistical methods and variance in perspectives," ...
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 ...
The Vaccine and Infectious Disease Division’s (VIDD) strategy involves methodically uncovering findings in the laboratory that inform prevention studies in the clinic. Advanced statistical methods are ...
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 ...
Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic demand. Determining which ...
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 ...
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