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 ...

An international team of mathematicians, led by Lehigh University statistician Taeho Kim, has introduced an innovative method ...

In human populations, it is relatively easy to calculate demographic trends and make projections for the future if data on basic processes such as births and immigration is known. The data, given by ...

Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic capabilities. A Cornell statistician and his colleague have developed a ...

By the 1990s, statistical approaches had become more sophisticated. Algorithms for ‘optimal design of experiments’ – still ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

UNIVERSITY PARK, Pa. — 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.