A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...
Through tumor profiling and statistical analysis, precision oncology uses genomic and other biomarkers to drive discovery, drug development, and clinical care for patients with cancer. It intends to ...
The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
Although population association studies are not new, there remain many areas of disagreement over appropriate statistical analyses. This article provides an overview of statistical methods, including ...
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 ...
The product development lifecycle is long and challenging. Whether it is translational research or clinical research, there are numerous obstacles in the design and management of a study and ...
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 ...
Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia to inform business and policy decisions.
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