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 ...

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, ...

Patients scheduled for outpatient infusion sometimes may be deferred for treatment after arriving for their appointment. This can be the result of a secondary illness, not meeting required bloodwork ...