A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

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The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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 ...

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 ...

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 ...

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 ...

To claim federal income tax credits for a research project, a taxpayer must prove that the project satisfies each prong of a four-part test. In IRS Field Attorney Advisory 20212501F (June 25, 2021), ...