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 ...

Fuzzy regression models extend traditional statistical regression by integrating fuzzy set theory to better handle imprecision and uncertainty inherent in many real-world data sets. These models ...

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 ...

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 ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...

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 ...

A new publication by two University of Cincinnati researchers contends that adjusting how researchers approach their statistical analysis has the potential to change the lives of children and ...