In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

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 ...

ITHACA, N.Y. -- An alternative statistical method honed and advanced by Cornell researchers can make clinical trials more reliable and trustworthy while also helping to remedy what has been called a ...

When outcome selection and prioritisation are defined early in development, the evidence base supports continuity from trial ...

A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues. A new statistical ...

The trials in breast, lung, and colorectal cancer, supported by ARPA-H, will focus on guiding decisions across different lines of therapy using serial biopsies and tumor profiling.

Assumptions are like rules that must be followed to ensure results of a statistical analysis are valid. Common methods for generating confidence intervals operate under various assumptions. First, ...