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The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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 ...

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 ...

Sports performance is a difficult thing to study. There are only so many trained athletes available for experiments, and most of the measurements required to investigate human performance are ...